Publications
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1.
Gordon, Andrew S.; Feng, Andrew
Combining the Predictions of Out-of-Domain Classifiers Using Etcetera Abduction Proceedings Article
In: 2024 58th Annual Conference on Information Sciences and Systems (CISS), pp. 1–6, IEEE, Princeton, NJ, USA, 2024, ISBN: 9798350369298.
@inproceedings{gordon_combining_2024,
title = {Combining the Predictions of Out-of-Domain Classifiers Using Etcetera Abduction},
author = {Andrew S. Gordon and Andrew Feng},
url = {https://ieeexplore.ieee.org/document/10480194/},
doi = {10.1109/CISS59072.2024.10480194},
isbn = {9798350369298},
year = {2024},
date = {2024-03-01},
urldate = {2024-04-16},
booktitle = {2024 58th Annual Conference on Information Sciences and Systems (CISS)},
pages = {1–6},
publisher = {IEEE},
address = {Princeton, NJ, USA},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
2.
Roemmele, Melissa; Gordon, Andrew S.
Creative Help: A Story Writing Assistant Book Section
In: Interactive Storytelling, vol. 9445, pp. 81–92, Springer International Publishing, Copenhagen, Denmark, 2015, ISBN: 978-3-319-27036-4.
@incollection{roemmele_creative_2015,
title = {Creative Help: A Story Writing Assistant},
author = {Melissa Roemmele and Andrew S. Gordon},
url = {http://link.springer.com/10.1007/978-3-319-27036-4_8},
isbn = {978-3-319-27036-4},
year = {2015},
date = {2015-12-01},
booktitle = {Interactive Storytelling},
volume = {9445},
pages = {81–92},
publisher = {Springer International Publishing},
address = {Copenhagen, Denmark},
abstract = {We present Creative Help, an application that helps writers by generating suggestions for the next sentence in a story as it being written. Users can modify or delete suggestions according to their own vision of the unfolding narrative. The application tracks users' changes to suggestions in order to measure their perceived helpfulness to the story, with fewer edits indicating more helpful suggestions. We demonstrate how the edit distance between a suggestion and its resulting modi⬚cation can be used to comparatively evaluate di⬚erent models for generating suggestions. We describe a generation model that uses case-based reasoning to find relevant suggestions from a large corpus of stories. The application shows that this model generates suggestions that are more helpful than randomly selected suggestions at a level of marginal statistical signifcance. By giving users control over the generated content, Creative Help provides a new opportunity in open-domain interactive storytelling.},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
We present Creative Help, an application that helps writers by generating suggestions for the next sentence in a story as it being written. Users can modify or delete suggestions according to their own vision of the unfolding narrative. The application tracks users' changes to suggestions in order to measure their perceived helpfulness to the story, with fewer edits indicating more helpful suggestions. We demonstrate how the edit distance between a suggestion and its resulting modi⬚cation can be used to comparatively evaluate di⬚erent models for generating suggestions. We describe a generation model that uses case-based reasoning to find relevant suggestions from a large corpus of stories. The application shows that this model generates suggestions that are more helpful than randomly selected suggestions at a level of marginal statistical signifcance. By giving users control over the generated content, Creative Help provides a new opportunity in open-domain interactive storytelling.
3.
Furbach, Ulrich; Gordon, Andrew S.; Schon, Claudia
Tackling Benchmark Problems of Commonsense Reasoning Proceedings Article
In: Proceedings of the Workshop on Bridging the Gap between Human and Automated Reasoning, pp. 47 – 59, Berlin, Germany, 2015.
@inproceedings{furbach_tackling_2015,
title = {Tackling Benchmark Problems of Commonsense Reasoning},
author = {Ulrich Furbach and Andrew S. Gordon and Claudia Schon},
url = {http://ict.usc.edu/pubs/Tackling%20Benchmark%20Problems%20of%20Commonsense%20Reasoning.pdf},
year = {2015},
date = {2015-08-01},
booktitle = {Proceedings of the Workshop on Bridging the Gap between Human and Automated Reasoning},
volume = {1412},
pages = {47 – 59},
address = {Berlin, Germany},
abstract = {There is increasing interest in the field of automated commonsense reasoning to find real world benchmarks to challenge and to further develop reasoning systems. One interesting example is the Triangle Choice of Plausible Alternatives (Triangle-COPA), which is a set of problems presented in first-order logic. The setting of these problems stems from the famous Heider-Simmel film used in early experiments in social psychology. This paper illustrates with two logical approaches abductive logic programming and deonitc logictextbackslashtextbackslashtextbarhow these problems can be solved. Furthermore, we propose an idea of how to use background knowledge to support the reasoning process.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
There is increasing interest in the field of automated commonsense reasoning to find real world benchmarks to challenge and to further develop reasoning systems. One interesting example is the Triangle Choice of Plausible Alternatives (Triangle-COPA), which is a set of problems presented in first-order logic. The setting of these problems stems from the famous Heider-Simmel film used in early experiments in social psychology. This paper illustrates with two logical approaches abductive logic programming and deonitc logictextbackslashtextbackslashtextbarhow these problems can be solved. Furthermore, we propose an idea of how to use background knowledge to support the reasoning process.
4.
Wienberg, Christopher; Gordon, Andrew S.
Insights on Privacy and Ethics from the Web’s Most Prolific Storytellers Proceedings Article
In: Proceedings of WebSci15, pp. 1 –10, ACM, Oxford, UK, 2015.
@inproceedings{wienberg_insights_2015,
title = {Insights on Privacy and Ethics from the Web’s Most Prolific Storytellers},
author = {Christopher Wienberg and Andrew S. Gordon},
url = {http://ict.usc.edu/pubs/Insights%20on%20Privacy%20and%20Ethics%20from%20the%20Web's%20Most%20Prolific%20Storytellers.pdf},
year = {2015},
date = {2015-06-01},
booktitle = {Proceedings of WebSci15},
pages = {1 –10},
publisher = {ACM},
address = {Oxford, UK},
abstract = {An analysis of narratives in English-language weblogs reveals a unique population of individuals who post personal stories with extraordinarily high frequency over extremely long periods of time. This population includes people who have posted personal narratives everyday for more than eight years. In this paper we describe our investigation of this interesting subset of web users, where we conducted ethnographic, face-to-face interviews with a sample of these bloggers (n = 11). Our ndings shed light on a culture of public documentation of private life, and provide insight into these bloggers' motivations, interactions with their readers, honesty, and thoughts on research that utilizes their data. We discuss the ethical implications for researchers working with web data, and speak to the relationship between large datasets and the real people behind them.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
An analysis of narratives in English-language weblogs reveals a unique population of individuals who post personal stories with extraordinarily high frequency over extremely long periods of time. This population includes people who have posted personal narratives everyday for more than eight years. In this paper we describe our investigation of this interesting subset of web users, where we conducted ethnographic, face-to-face interviews with a sample of these bloggers (n = 11). Our ndings shed light on a culture of public documentation of private life, and provide insight into these bloggers' motivations, interactions with their readers, honesty, and thoughts on research that utilizes their data. We discuss the ethical implications for researchers working with web data, and speak to the relationship between large datasets and the real people behind them.
5.
Garten, Justin; Sagae, Kenji; Ustun, Volkan; Dehghani, Morteza
Combining Distributed Vector Representations for Words Proceedings Article
In: Proceedings of NAACL-HLT 2015, pp. 95–101, Association for Computational Linguistics, Denver, Colorado, 2015.
@inproceedings{garten_combining_2015,
title = {Combining Distributed Vector Representations for Words},
author = {Justin Garten and Kenji Sagae and Volkan Ustun and Morteza Dehghani},
url = {http://ict.usc.edu/pubs/Combining%20Distributed%20Vector%20Representations%20for%20Words.pdf},
year = {2015},
date = {2015-06-01},
booktitle = {Proceedings of NAACL-HLT 2015},
pages = {95–101},
publisher = {Association for Computational Linguistics},
address = {Denver, Colorado},
abstract = {Recent interest in distributed vector representations for words has resulted in an increased diversity of approaches, each with strengths and weaknesses. We demonstrate how diverse vector representations may be inexpensively composed into hybrid representations, effectively leveraging strengths of individual components, as evidenced by substantial improvements on a standard word analogy task. We further compare these results over different sizes of training sets and find these advantages are more pronounced when training data is limited. Finally, we explore the relative impacts of the differences in the learning methods themselves and the size of the contexts they access.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Recent interest in distributed vector representations for words has resulted in an increased diversity of approaches, each with strengths and weaknesses. We demonstrate how diverse vector representations may be inexpensively composed into hybrid representations, effectively leveraging strengths of individual components, as evidenced by substantial improvements on a standard word analogy task. We further compare these results over different sizes of training sets and find these advantages are more pronounced when training data is limited. Finally, we explore the relative impacts of the differences in the learning methods themselves and the size of the contexts they access.
6.
Maslan, Nicole; Roemmele, Melissa; Gordon, Andrew S.
One Hundred Challenge Problems for Logical Formalizations of Commonsense Psychology Proceedings Article
In: Proceedings of the Twelfth International Symposium on Logical Formalizations of Commonsense Reasoning (Commonsense-2015), Stanford, CA, 2015.
@inproceedings{maslan_one_2015,
title = {One Hundred Challenge Problems for Logical Formalizations of Commonsense Psychology},
author = {Nicole Maslan and Melissa Roemmele and Andrew S. Gordon},
url = {http://ict.usc.edu/pubs/One%20Hundred%20Challenge%20Problems%20for%20Logical%20Formalizations%20of%20Commonsense%20Psychology.PDF},
year = {2015},
date = {2015-03-01},
booktitle = {Proceedings of the Twelfth International Symposium on Logical Formalizations of Commonsense Reasoning (Commonsense-2015)},
address = {Stanford, CA},
abstract = {We present a new set of challenge problems for the logical formalization of commonsense knowledge, called Triangle-COPA. This set of one hundred problems is smaller than other recent commonsense reasoning question sets, but is unique in that it is specifically designed to support the development of logic-based commonsense theories, via two means. First, questions and potential answers are encoded in logical form using a fixed vocabulary of predicates, eliminating the need for sophisticated natural language processing pipelines. Second, the domain of the questions is tightly constrained so as to focus formalization efforts on one area of inference, namely the commonsense reasoning that people do about human psychology. We describe the authoring methodology used to create this problem set, and our analysis of the scope of requisite common sense knowledge. We then show an example of how problems can be solved using an implementation of weighted abduction.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
We present a new set of challenge problems for the logical formalization of commonsense knowledge, called Triangle-COPA. This set of one hundred problems is smaller than other recent commonsense reasoning question sets, but is unique in that it is specifically designed to support the development of logic-based commonsense theories, via two means. First, questions and potential answers are encoded in logical form using a fixed vocabulary of predicates, eliminating the need for sophisticated natural language processing pipelines. Second, the domain of the questions is tightly constrained so as to focus formalization efforts on one area of inference, namely the commonsense reasoning that people do about human psychology. We describe the authoring methodology used to create this problem set, and our analysis of the scope of requisite common sense knowledge. We then show an example of how problems can be solved using an implementation of weighted abduction.
7.
Maslan, Nicole; Roemmele, Melissa; Gordon, Andrew S.
An Integrated Evaluation of Perception, Interpretation, and Narration Proceedings Article
In: Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, Austin, TX, 2015.
@inproceedings{maslan_integrated_2015,
title = {An Integrated Evaluation of Perception, Interpretation, and Narration},
author = {Nicole Maslan and Melissa Roemmele and Andrew S. Gordon},
url = {http://ict.usc.edu/pubs/An%20Integrated%20Evaluation%20of%20Perception,%20Interpretation,%20and%20Narration.PDF},
year = {2015},
date = {2015-01-01},
booktitle = {Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence},
address = {Austin, TX},
abstract = {In this paper, we describe our efforts to create an evaluation tool to aid in the development of artificial intelligence systems that integrate perception, reasoning, and language abilities. Based on an early and influential study by social psychologists Fritz Heider and Marianne Simmel, we created 100 short movies depicting the motions of two triangles and a circle around a box with a hinged opening. For each movie, we provide quantitative information about each object's trajectory, a formal description of the actions that can be perceived in each object's behavior, a formal interpretation of the social situation that is depicted, and a short English narration of the interpreted events.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
In this paper, we describe our efforts to create an evaluation tool to aid in the development of artificial intelligence systems that integrate perception, reasoning, and language abilities. Based on an early and influential study by social psychologists Fritz Heider and Marianne Simmel, we created 100 short movies depicting the motions of two triangles and a circle around a box with a hinged opening. For each movie, we provide quantitative information about each object's trajectory, a formal description of the actions that can be perceived in each object's behavior, a formal interpretation of the social situation that is depicted, and a short English narration of the interpreted events.
8.
Gordon, Andrew S.; Roemmele, Melissa
An Authoring Tool for Movies in the Style of Heider and Simmel Proceedings Article
In: Mitchell, Alex; Fernández-Vara, Clara; Thue, David (Ed.): Interactive Storytelling, pp. 49–60, Springer International Publishing, Singapore, 2014, ISBN: 978-3-319-12336-3 978-3-319-12337-0.
@inproceedings{gordon_authoring_2014,
title = {An Authoring Tool for Movies in the Style of Heider and Simmel},
author = {Andrew S. Gordon and Melissa Roemmele},
editor = {Alex Mitchell and Clara Fernández-Vara and David Thue},
url = {http://link.springer.com/10.1007/978-3-319-12337-0_5},
isbn = {978-3-319-12336-3 978-3-319-12337-0},
year = {2014},
date = {2014-11-01},
booktitle = {Interactive Storytelling},
volume = {8832},
pages = {49–60},
publisher = {Springer International Publishing},
address = {Singapore},
abstract = {Seventy years ago, psychologists Fritz Heider and Marianne Simmel described an influential study of the perception of intention, where a simple movie of animated geometric shapes evoked in their subjects rich narrative interpretations involving their psychology and social relationships. In this paper, we describe the Heider-Simmel Interactive Theater, a web application that allows authors to create their own movies in the style of Heider and Simmel’s original film, and associate with them a textual description of their narrative intentions. We describe an evaluation of our authoring tool in a classroom of 10th grade students, and an analysis of the movies and textual narratives that they created. Our results provide strong evidence that the authors of these films, as well as Heider and Simmel by extension, intended to convey narratives that are rich with social, cognitive, and emotional concerns.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Seventy years ago, psychologists Fritz Heider and Marianne Simmel described an influential study of the perception of intention, where a simple movie of animated geometric shapes evoked in their subjects rich narrative interpretations involving their psychology and social relationships. In this paper, we describe the Heider-Simmel Interactive Theater, a web application that allows authors to create their own movies in the style of Heider and Simmel’s original film, and associate with them a textual description of their narrative intentions. We describe an evaluation of our authoring tool in a classroom of 10th grade students, and an analysis of the movies and textual narratives that they created. Our results provide strong evidence that the authors of these films, as well as Heider and Simmel by extension, intended to convey narratives that are rich with social, cognitive, and emotional concerns.
9.
Park, Sunghyun; Shim, Han Suk; Chatterjee, Moitreya; Sagae, Kenji; Morency, Louis-Philippe
Computational Analysis of Persuasiveness in Social Multimedia: A Novel Dataset and Multimodal Prediction Approach Proceedings Article
In: Proceedings of the 16th International Conference on Multimodal Interaction, pp. 50–57, ACM Press, 2014, ISBN: 978-1-4503-2885-2.
@inproceedings{park_computational_2014,
title = {Computational Analysis of Persuasiveness in Social Multimedia: A Novel Dataset and Multimodal Prediction Approach},
author = {Sunghyun Park and Han Suk Shim and Moitreya Chatterjee and Kenji Sagae and Louis-Philippe Morency},
url = {http://dl.acm.org/citation.cfm?doid=2663204.2663260},
doi = {10.1145/2663204.2663260},
isbn = {978-1-4503-2885-2},
year = {2014},
date = {2014-11-01},
booktitle = {Proceedings of the 16th International Conference on Multimodal Interaction},
pages = {50–57},
publisher = {ACM Press},
abstract = {Our lives are heavily influenced by persuasive communication, and it is essential in almost any types of social interactions from business negotiation to conversation with our friends and family. With the rapid growth of social multimedia websites, it is becoming ever more important and useful to understand persuasiveness in the context of social multimedia content online. In this paper, we introduce our newly created multimedia corpus of 1,000 movie review videos obtained from a social multimedia website called ExpoTV.com, which will be made freely available to the research community. Our research results presented here revolve around the following 3 main research hypotheses. Firstly, we show that computational descriptors derived from verbal and nonverbal behavior can be predictive of persuasiveness. We further show that combining descriptors from multiple communication modalities (audio, text and visual) improve the prediction performance compared to using those from single modality alone. Secondly, we investigate if having prior knowledge of a speaker expressing a positive or negative opinion helps better predict the speaker's persuasiveness. Lastly, we show that it is possible to make comparable prediction of persuasiveness by only looking at thin slices (shorter time windows) of a speaker's behavior.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Our lives are heavily influenced by persuasive communication, and it is essential in almost any types of social interactions from business negotiation to conversation with our friends and family. With the rapid growth of social multimedia websites, it is becoming ever more important and useful to understand persuasiveness in the context of social multimedia content online. In this paper, we introduce our newly created multimedia corpus of 1,000 movie review videos obtained from a social multimedia website called ExpoTV.com, which will be made freely available to the research community. Our research results presented here revolve around the following 3 main research hypotheses. Firstly, we show that computational descriptors derived from verbal and nonverbal behavior can be predictive of persuasiveness. We further show that combining descriptors from multiple communication modalities (audio, text and visual) improve the prediction performance compared to using those from single modality alone. Secondly, we investigate if having prior knowledge of a speaker expressing a positive or negative opinion helps better predict the speaker's persuasiveness. Lastly, we show that it is possible to make comparable prediction of persuasiveness by only looking at thin slices (shorter time windows) of a speaker's behavior.
10.
Lubetich, Shannon; Sagae, Kenji
Data-driven Measurement of Child Language Development with Simple Syntactic Templates Proceedings Article
In: Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers, pp. 2151 – 2160, Dublin, Ireland, 2014.
@inproceedings{lubetich_data-driven_2014,
title = {Data-driven Measurement of Child Language Development with Simple Syntactic Templates},
author = {Shannon Lubetich and Kenji Sagae},
url = {http://ict.usc.edu/pubs/Data-driven%20Measurement%20of%20Child%20Language%20Development%20with%20Simple%20Syntactic%20Templates.pdf},
year = {2014},
date = {2014-08-01},
booktitle = {Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers},
pages = {2151 – 2160},
address = {Dublin, Ireland},
abstract = {When assessing child language development, researchers have traditionally had to choose between easily computable metrics focused on superficial aspects of language, and more expressive metrics that are carefully designed to cover specific syntactic structures and require substantial and tedious labor. Recent work has shown that existing expressive metrics for child language development can be automated and produce accurate results. We go a step further and propose that measurement of syntactic development can be performed automatically in a completely data-driven way without the need for definition of language-specific inventories of grammatical structures. As a crucial step in that direction, we show that four simple feature templates are as expressive of language development as a carefully crafted standard inventory of grammatical structures that is commonly used and has been validated empirically.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
When assessing child language development, researchers have traditionally had to choose between easily computable metrics focused on superficial aspects of language, and more expressive metrics that are carefully designed to cover specific syntactic structures and require substantial and tedious labor. Recent work has shown that existing expressive metrics for child language development can be automated and produce accurate results. We go a step further and propose that measurement of syntactic development can be performed automatically in a completely data-driven way without the need for definition of language-specific inventories of grammatical structures. As a crucial step in that direction, we show that four simple feature templates are as expressive of language development as a carefully crafted standard inventory of grammatical structures that is commonly used and has been validated empirically.
11.
Gordon, Andrew; Core, Mark; Kang, Sin-Hwa; Wang, Catherine; Wienberg, Christopher
Civilian Analogs of Army Tasks: Supporting Pedagogical Storytelling Across Domains Journal Article
In: Proceedings of the 11th International Conference of the Learning Sciences, 2014.
@article{gordon_civilian_2014,
title = {Civilian Analogs of Army Tasks: Supporting Pedagogical Storytelling Across Domains},
author = {Andrew Gordon and Mark Core and Sin-Hwa Kang and Catherine Wang and Christopher Wienberg},
url = {http://ict.usc.edu/pubs/Civilian%20Analogs%20of%20Army%20Tasks%20-%20Supporting%20Pedagogical%20Storytelling%20Across%20Domains.pdf},
year = {2014},
date = {2014-06-01},
journal = {Proceedings of the 11th International Conference of the Learning Sciences},
abstract = {Storytelling is the most basic means by which people learn from the experiences of others. Advances in educational technologies offer new opportunities and experiences for learners, but risk losing the natural forms of pedagogical storytelling afforded by face-to-face teacher-student discussion. In this paper, we present a technology-supported solution to the problem of curating and algorithmically delivering relevant stories to learners in computer-based learning environments. Our approach is to mine public weblogs for textual narratives related to specific activity contexts, both inside and outside the domain of the target skillset. These stories are then linked directly to task representations in the learner model of an intelligent tutoring system, and delivered to learners along with other tutoring guidance. We demonstrate our approach to curating stories by creating collections of narratives that are analogous to tactical tasks of the U.S. Army, and evaluate the difficulty of incorporating these stories into intelligent tutoring systems.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Storytelling is the most basic means by which people learn from the experiences of others. Advances in educational technologies offer new opportunities and experiences for learners, but risk losing the natural forms of pedagogical storytelling afforded by face-to-face teacher-student discussion. In this paper, we present a technology-supported solution to the problem of curating and algorithmically delivering relevant stories to learners in computer-based learning environments. Our approach is to mine public weblogs for textual narratives related to specific activity contexts, both inside and outside the domain of the target skillset. These stories are then linked directly to task representations in the learner model of an intelligent tutoring system, and delivered to learners along with other tutoring guidance. We demonstrate our approach to curating stories by creating collections of narratives that are analogous to tactical tasks of the U.S. Army, and evaluate the difficulty of incorporating these stories into intelligent tutoring systems.
12.
Wienberg, Christopher; Gordon, Andrew S.
Privacy Considerations for Public Storytelling Proceedings Article
In: Proceedings of the Eighth International AAAI Conference on Weblogs and Social Media, pp. 627–630, Ann Harbor, MI, 2014.
@inproceedings{wienberg_privacy_2014,
title = {Privacy Considerations for Public Storytelling},
author = {Christopher Wienberg and Andrew S. Gordon},
url = {http://ict.usc.edu/pubs/Privacy%20Considerations%20for%20Public%20Storytelling.pdf},
year = {2014},
date = {2014-06-01},
booktitle = {Proceedings of the Eighth International AAAI Conference on Weblogs and Social Media},
pages = {627–630},
address = {Ann Harbor, MI},
abstract = {The popularity of the web and social media have afforded researchers unparalleled access to content about the daily lives of people. Human research ethics guidelines, while actively expanding to meet the new challenges posed by web research, still rely on offline principles of interaction that are a poor fit to modern technology. In this context, we present a study of the identifiability of authors of socially sensitive content. With the goal of identity obfuscation, we compare this to the identifiability of the same content translated to and then back from a foreign language, focusing on how easily a person could locate the original source of the content. We discuss the risk to these authors presented by dissemination of their content, and consider the implications for research ethics guidelines.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
The popularity of the web and social media have afforded researchers unparalleled access to content about the daily lives of people. Human research ethics guidelines, while actively expanding to meet the new challenges posed by web research, still rely on offline principles of interaction that are a poor fit to modern technology. In this context, we present a study of the identifiability of authors of socially sensitive content. With the goal of identity obfuscation, we compare this to the identifiability of the same content translated to and then back from a foreign language, focusing on how easily a person could locate the original source of the content. We discuss the risk to these authors presented by dissemination of their content, and consider the implications for research ethics guidelines.
13.
Vigil, Jesse; Tait, Asa Shumskas; Wienberg, Christopher; Gordon, Andrew S.
Friends You Haven’t Met Yet: A Documentary Short Film Proceedings Article
In: Proceedings of the 2014 ACM conference on Web science, pp. 176–176, ACM Press, Bloomington, IN, 2014, ISBN: 978-1-4503-2622-3.
@inproceedings{vigil_friends_2014,
title = {Friends You Haven’t Met Yet: A Documentary Short Film},
author = {Jesse Vigil and Asa Shumskas Tait and Christopher Wienberg and Andrew S. Gordon},
url = {http://dl.acm.org/citation.cfm?doid=2615569.2617797},
doi = {10.1145/2615569.2617797},
isbn = {978-1-4503-2622-3},
year = {2014},
date = {2014-06-01},
booktitle = {Proceedings of the 2014 ACM conference on Web science},
pages = {176–176},
publisher = {ACM Press},
address = {Bloomington, IN},
abstract = {"Friends You Haven't Met Yet" is a documentary short film that chronicles encounters between extremely prolific bloggers and a computer scientist who uses their personal narratives for research. It explores issues related to public sharing of personal stories, the ethical obligations of researchers who use web data, and the changing nature of online privacy. The film was conceived by Andrew Gordon and Christopher Wienberg at the University of Southern California, whose research involves the collection of millions of personal stories posted to internet weblogs. In analyzing their data, these researchers discovered an unusual population of extremely prolific bloggers, people who post personal stories about their daily lives everyday over the course of many years. They posed three questions about this population: 1. What motivates these people to post so frequently and publicly about their personal life? 2. To what degree do these people embellish their stories to make them more interesting than reality? 3. What expectations do these authors have about their readers, and what are the ethical implications for researchers like us who analyze their posts? To answer these questions, PhD Student Christopher Wienberg contacted many of these bloggers directly and set up face-to-face interviews at their homes. Accompanied by a documentary film crew, Christopher traveled to locations around California, in both urban and rural settings, to better understand the people whose contributions on the web serve as data in social media research.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
"Friends You Haven't Met Yet" is a documentary short film that chronicles encounters between extremely prolific bloggers and a computer scientist who uses their personal narratives for research. It explores issues related to public sharing of personal stories, the ethical obligations of researchers who use web data, and the changing nature of online privacy. The film was conceived by Andrew Gordon and Christopher Wienberg at the University of Southern California, whose research involves the collection of millions of personal stories posted to internet weblogs. In analyzing their data, these researchers discovered an unusual population of extremely prolific bloggers, people who post personal stories about their daily lives everyday over the course of many years. They posed three questions about this population: 1. What motivates these people to post so frequently and publicly about their personal life? 2. To what degree do these people embellish their stories to make them more interesting than reality? 3. What expectations do these authors have about their readers, and what are the ethical implications for researchers like us who analyze their posts? To answer these questions, PhD Student Christopher Wienberg contacted many of these bloggers directly and set up face-to-face interviews at their homes. Accompanied by a documentary film crew, Christopher traveled to locations around California, in both urban and rural settings, to better understand the people whose contributions on the web serve as data in social media research.
14.
Rahimtoroghi, Elahe; Corcoran, Thomas; Swanson, Reid; Walker, Marilyn A.; Sagae, Kenji; Gordon, Andrew S.
Minimal Narrative Annotation Schemes and Their Applications Proceedings Article
In: Intelligent Narrative Technologies 7: Papers from the 2014 Workshop, Milwaukee, WI, 2014.
@inproceedings{rahimtoroghi_minimal_2014,
title = {Minimal Narrative Annotation Schemes and Their Applications},
author = {Elahe Rahimtoroghi and Thomas Corcoran and Reid Swanson and Marilyn A. Walker and Kenji Sagae and Andrew S. Gordon},
url = {http://ict.usc.edu/pubs/Minimal%20Narrative%20Annotation%20Schemes%20and%20Their%20Applications.PDF},
year = {2014},
date = {2014-06-01},
booktitle = {Intelligent Narrative Technologies 7: Papers from the 2014 Workshop},
address = {Milwaukee, WI},
abstract = {The increased use of large corpora in narrative research has created new opportunities for empirical research and intelligent narrative technologies. To best exploit the value of these corpora, several research groups are eschewing complex discourse analysis techniques in favor of high-level minimalist narrative annotation schemes that can be quickly applied, achieve high inter-rater agreement, and are amenable to automation using machine-learning techniques. In this paper we compare different annotation schemes that have been employed by two groups of researchers to annotate large corpora of narrative text. Using a dualannotation methodology, we investigate the correlation between narrative clauses distinguished by their structural role (orientation, action, evaluation), their subjectivity, and their narrative level within the discourse. We find that each simple narrative annotation scheme captures a structurally distinct characteristic of real-world narratives, and each combination of labels is evident in a corpus of 19 weblog narratives (951 narrative clauses). We discuss several potential applications of minimalist narrative annotation schemes, noting the combination of label across these two annotation schemes that best support each task.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
The increased use of large corpora in narrative research has created new opportunities for empirical research and intelligent narrative technologies. To best exploit the value of these corpora, several research groups are eschewing complex discourse analysis techniques in favor of high-level minimalist narrative annotation schemes that can be quickly applied, achieve high inter-rater agreement, and are amenable to automation using machine-learning techniques. In this paper we compare different annotation schemes that have been employed by two groups of researchers to annotate large corpora of narrative text. Using a dualannotation methodology, we investigate the correlation between narrative clauses distinguished by their structural role (orientation, action, evaluation), their subjectivity, and their narrative level within the discourse. We find that each simple narrative annotation scheme captures a structurally distinct characteristic of real-world narratives, and each combination of labels is evident in a corpus of 19 weblog narratives (951 narrative clauses). We discuss several potential applications of minimalist narrative annotation schemes, noting the combination of label across these two annotation schemes that best support each task.
15.
Hobbs, Jerry R.; Gordon, Andrew
Axiomatizing Complex Concepts from Fundamentals Book Section
In: Hutchison, David; Kanade, Takeo; Kittler, Josef; Kleinberg, Jon M.; Mattern, Friedemann; Mitchell, John C.; Naor, Moni; Nierstrasz, Oscar; Rangan, C. Pandu; Steffen, Bernhard; Sudan, Madhu; Terzopoulos, Demetri; Tygar, Doug; Vardi, Moshe Y.; Weikum, Gerhard; Gelbukh, Alexander (Ed.): Computational Linguistics and Intelligent Text Processing, pp. 351–365, Springer Berlin Heidelberg, Berlin, Heidelberg, 2014, ISBN: 978-3-642-54905-2 978-3-642-54906-9.
@incollection{hobbs_axiomatizing_2014,
title = {Axiomatizing Complex Concepts from Fundamentals},
author = {Jerry R. Hobbs and Andrew Gordon},
editor = {David Hutchison and Takeo Kanade and Josef Kittler and Jon M. Kleinberg and Friedemann Mattern and John C. Mitchell and Moni Naor and Oscar Nierstrasz and C. Pandu Rangan and Bernhard Steffen and Madhu Sudan and Demetri Terzopoulos and Doug Tygar and Moshe Y. Vardi and Gerhard Weikum and Alexander Gelbukh},
url = {http://link.springer.com/10.1007/978-3-642-54906-9_29},
isbn = {978-3-642-54905-2 978-3-642-54906-9},
year = {2014},
date = {2014-04-01},
booktitle = {Computational Linguistics and Intelligent Text Processing},
pages = {351–365},
publisher = {Springer Berlin Heidelberg},
address = {Berlin, Heidelberg},
abstract = {We have been engaged in the project of encoding commonsense theories of cognition, or how we think we think, in a logical representation. In this paper we use the concept of a “serious threat” as our prime example, and examine the infrastructure required for capturing the meaning of this complex concept. It is one of many examples we could have used, but it is particularly interesting because building up to this concept from fundamentals, such as causality and scalar notions, highlights a number of representational issues that have to be faced along the way, where the complexity of the target concepts strongly influences how we resolve those issues. We first describe our approach to definition, defeasibility, and reification, where hard decisions have to bemade to get the enterprise off the ground.We then sketch our approach to causality, scalar notions, goals, and importance. Finally we use all this to characterize what it is to be a serious threat. All of this is necessarily sketchy, but the key ideas essential to the target concept should be clear.},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
We have been engaged in the project of encoding commonsense theories of cognition, or how we think we think, in a logical representation. In this paper we use the concept of a “serious threat” as our prime example, and examine the infrastructure required for capturing the meaning of this complex concept. It is one of many examples we could have used, but it is particularly interesting because building up to this concept from fundamentals, such as causality and scalar notions, highlights a number of representational issues that have to be faced along the way, where the complexity of the target concepts strongly influences how we resolve those issues. We first describe our approach to definition, defeasibility, and reification, where hard decisions have to bemade to get the enterprise off the ground.We then sketch our approach to causality, scalar notions, goals, and importance. Finally we use all this to characterize what it is to be a serious threat. All of this is necessarily sketchy, but the key ideas essential to the target concept should be clear.
16.
Koh, Sukjin; Gordon, Andrew S; Wienberg, Christopher; Sood, Sara O; Morley, Stephanie; Burke, Deborah M
Stroke Experiences in Weblogs: A Feasibility Study of Sex Differences Journal Article
In: Journal of Medical Internet Research, vol. 16, no. 3, pp. e84, 2014, ISSN: 14388871.
@article{koh_stroke_2014,
title = {Stroke Experiences in Weblogs: A Feasibility Study of Sex Differences},
author = {Sukjin Koh and Andrew S Gordon and Christopher Wienberg and Sara O Sood and Stephanie Morley and Deborah M Burke},
url = {http://ict.usc.edu/pubs/Stroke%20Experiences%20in%20Weblogs%20-%20A%20Feasibility%20Study%20of%20Sex%20Differences.pdf},
doi = {10.2196/jmir.2838},
issn = {14388871},
year = {2014},
date = {2014-03-01},
journal = {Journal of Medical Internet Research},
volume = {16},
number = {3},
pages = {e84},
abstract = {Research on cerebral stroke symptoms using hospital records has reported that women experience more nontraditional symptoms of stroke (eg, mental status change, pain) than men do. This is an important issue because nontraditional symptoms may delay the decision to get medical assistance and increase the difficulty of correct diagnosis. In the present study, we investigate sex differences in the stroke experience as described in stories on weblogs.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Research on cerebral stroke symptoms using hospital records has reported that women experience more nontraditional symptoms of stroke (eg, mental status change, pain) than men do. This is an important issue because nontraditional symptoms may delay the decision to get medical assistance and increase the difficulty of correct diagnosis. In the present study, we investigate sex differences in the stroke experience as described in stories on weblogs.
17.
Roemmele, Melissa; Archer-McClellan, Haley; Gordon, Andrew S.
Triangle charades: a data-collection game for recognizing actions in motion trajectories Proceedings Article
In: Proceedings of the 19th international conference on Intelligent User Interfaces, pp. 209–214, ACM Press, Haifa, Israel, 2014, ISBN: 978-1-4503-2184-6.
@inproceedings{roemmele_triangle_2014,
title = {Triangle charades: a data-collection game for recognizing actions in motion trajectories},
author = {Melissa Roemmele and Haley Archer-McClellan and Andrew S. Gordon},
url = {http://dl.acm.org/citation.cfm?doid=2557500.2557510},
doi = {10.1145/2557500.2557510},
isbn = {978-1-4503-2184-6},
year = {2014},
date = {2014-02-01},
booktitle = {Proceedings of the 19th international conference on Intelligent User Interfaces},
pages = {209–214},
publisher = {ACM Press},
address = {Haifa, Israel},
abstract = {Humans have a remarkable tendency to anthropomorphize moving objects, ascribing to them intentions and emotions as if they were human. Early social psychology research demonstrated that animated film clips depicting the movements of simple geometric shapes could elicit rich interpretations of intentional behavior from viewers. In attempting to model this reasoning process in software, we first address the problem of automatically recognizing humanlike actions in the trajectories of moving shapes. There are two main difficulties. First, there is no defined vocabulary of actions that are recognizable to people from motion trajectories. Second, in order for an automated system to learn actions from motion trajectories using machine-learning techniques, a vast amount of these actiontrajectory pairs is needed as training data. This paper describes an approach to data collection that resolves both of these problems. In a web-based game, called Triangle Charades, players create motion trajectories for actions by animating a triangle to depict those actions. Other players view these animations and guess the action they depict. An action is considered recognizable if players can correctly guess it from animations. To move towards defining a controlled vocabulary and collecting a large dataset, we conducted a pilot study in which 87 users played Triangle Charades. Based on this data, we computed a simple metric for action recognizability. Scores on this metric formed a gradual linear pattern, suggesting there is no clear cutoff for determining if an action is recognizable from motion data. These initial results demonstrate the advantages of using a game to collect data for this action recognition task.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Humans have a remarkable tendency to anthropomorphize moving objects, ascribing to them intentions and emotions as if they were human. Early social psychology research demonstrated that animated film clips depicting the movements of simple geometric shapes could elicit rich interpretations of intentional behavior from viewers. In attempting to model this reasoning process in software, we first address the problem of automatically recognizing humanlike actions in the trajectories of moving shapes. There are two main difficulties. First, there is no defined vocabulary of actions that are recognizable to people from motion trajectories. Second, in order for an automated system to learn actions from motion trajectories using machine-learning techniques, a vast amount of these actiontrajectory pairs is needed as training data. This paper describes an approach to data collection that resolves both of these problems. In a web-based game, called Triangle Charades, players create motion trajectories for actions by animating a triangle to depict those actions. Other players view these animations and guess the action they depict. An action is considered recognizable if players can correctly guess it from animations. To move towards defining a controlled vocabulary and collecting a large dataset, we conducted a pilot study in which 87 users played Triangle Charades. Based on this data, we computed a simple metric for action recognizability. Scores on this metric formed a gradual linear pattern, suggesting there is no clear cutoff for determining if an action is recognizable from motion data. These initial results demonstrate the advantages of using a game to collect data for this action recognition task.
18.
Ovchinnikova, Ekaterina; Gordon, Andrew S.; Hobbs, Jerry R.
Abduction for Discourse Interpretation: A Probabilistic Framework Proceedings Article
In: Proceedings of the Joint Symposium on Semantic Processing, pp. 42–50, Trento, Italy, 2013.
@inproceedings{ovchinnikova_abduction_2013,
title = {Abduction for Discourse Interpretation: A Probabilistic Framework},
author = {Ekaterina Ovchinnikova and Andrew S. Gordon and Jerry R. Hobbs},
url = {http://ict.usc.edu/pubs/Abduction%20for%20Discourse%20Interpretation%20-%20A%20Probabilistic%20Framework.%20Joint%20Symposium%20on%20Semantic%20Processing.PDF},
year = {2013},
date = {2013-11-01},
booktitle = {Proceedings of the Joint Symposium on Semantic Processing},
pages = {42–50},
address = {Trento, Italy},
abstract = {Abduction allows us to model interpretation of discourse as the explanation of observables, given additional knowledge about the world. In an abductive framework, many explanations can be constructed for the same observation, requiring an approach to estimate the likelihood of these alternative explanations. We show that, for discourse interpretation, weighted abduction has advantages over alternative approaches to estimating the likelihood of hypotheses. However, weighted abduction has no probabilistic interpretation, which makes the estimation and learning of weights difficult. To address this, we propose a formal probabilistic abductive framework that captures the advantages weighted abduction when applied to discourse interpretation.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Abduction allows us to model interpretation of discourse as the explanation of observables, given additional knowledge about the world. In an abductive framework, many explanations can be constructed for the same observation, requiring an approach to estimate the likelihood of these alternative explanations. We show that, for discourse interpretation, weighted abduction has advantages over alternative approaches to estimating the likelihood of hypotheses. However, weighted abduction has no probabilistic interpretation, which makes the estimation and learning of weights difficult. To address this, we propose a formal probabilistic abductive framework that captures the advantages weighted abduction when applied to discourse interpretation.
19.
Gordon, Andrew S.; Huangfu, Luwen; Sagae, Kenji; Mao, Wenji; Chen, Wen
Identifying Personal Narratives in Chinese Weblog Posts Proceedings Article
In: Intelligent Narrative Technologies Workshop, Boston, MA, 2013.
@inproceedings{gordon_identifying_2013,
title = {Identifying Personal Narratives in Chinese Weblog Posts},
author = {Andrew S. Gordon and Luwen Huangfu and Kenji Sagae and Wenji Mao and Wen Chen},
url = {http://ict.usc.edu/pubs/Identifying%20Personal%20Narratives%20in%20Chinese%20Weblog%20Posts.PDF},
year = {2013},
date = {2013-10-01},
booktitle = {Intelligent Narrative Technologies Workshop},
address = {Boston, MA},
abstract = {Automated text classification technologies have enabled researchers to amass enormous collections of personal narratives posted to English-language weblogs. In this paper, we explore analogous approachesto identify personal narratives in Chinese weblog posts as a precursor to the future empirical studies of cross-cultural differences in narrative structure. We describe the collection of over half a million posts from a popular Chinese weblog hosting service, and the manual annotation of story and nonstory content in sampled posts. Using supervised machine learning methods, we developed an automated text classifier for personal narratives in Chinese posts, achieving classification accuracy comparable to previous work in English. Using this classifier, we automatically identify over sixty-four thousand personal narratives for use in future cross-cultural analyses and Chinese-language applications of narrative corpora.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Automated text classification technologies have enabled researchers to amass enormous collections of personal narratives posted to English-language weblogs. In this paper, we explore analogous approachesto identify personal narratives in Chinese weblog posts as a precursor to the future empirical studies of cross-cultural differences in narrative structure. We describe the collection of over half a million posts from a popular Chinese weblog hosting service, and the manual annotation of story and nonstory content in sampled posts. Using supervised machine learning methods, we developed an automated text classifier for personal narratives in Chinese posts, achieving classification accuracy comparable to previous work in English. Using this classifier, we automatically identify over sixty-four thousand personal narratives for use in future cross-cultural analyses and Chinese-language applications of narrative corpora.
20.
Sagae, Kenji; Gordon, Andrew S.; Dehghani, Morteza; Metke, Mike; Kim, Jackie S.; Gimbel, Sarah I.; Tipper, Christine; Kaplan, Jonas; Immordino-Yang, Mary Helen
A Data-Driven Approach for Classification of Subjectivity in Personal Narratives Proceedings Article
In: Workshop on Computational Models of Narrative, Hamburg, Germany, 2013.
@inproceedings{sagae_data-driven_2013,
title = {A Data-Driven Approach for Classification of Subjectivity in Personal Narratives},
author = {Kenji Sagae and Andrew S. Gordon and Morteza Dehghani and Mike Metke and Jackie S. Kim and Sarah I. Gimbel and Christine Tipper and Jonas Kaplan and Mary Helen Immordino-Yang},
url = {http://ict.usc.edu/pubs/A%20Data-Driven%20Approach%20for%20Classi%EF%AC%81cation%20of%20Subjectivity%20in%20Personal%20Narratives.PDF},
year = {2013},
date = {2013-08-01},
booktitle = {Workshop on Computational Models of Narrative},
address = {Hamburg, Germany},
abstract = {Personal narratives typically involve a narrator who participates in a sequence of events in the past. The narrator is therefore present at two narrative levels: (1) the extradiegetic level, where the act of narration takes place, with the narrator addressing an audience directly; and (2) the diegetic level, where the events in the story take place, with the narrator as a participant (usually the protagonist). Although story understanding is commonly associated with semantics of the diegetic level (i.e., understanding the events that take place within the story), personal narratives may also contain important information at the extradiegetic level that frames the narrated events and is crucial for capturing the narrator’s intent. We present a data-driven modeling approach that learns to identify subjective passages that express mental and emotional states of the narrator, placing them at either the diegetic or extradiegetic level. We describe an experiment where we used narratives from personal weblog posts to measure the effectiveness of our approach across various topics in this narrative genre.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Personal narratives typically involve a narrator who participates in a sequence of events in the past. The narrator is therefore present at two narrative levels: (1) the extradiegetic level, where the act of narration takes place, with the narrator addressing an audience directly; and (2) the diegetic level, where the events in the story take place, with the narrator as a participant (usually the protagonist). Although story understanding is commonly associated with semantics of the diegetic level (i.e., understanding the events that take place within the story), personal narratives may also contain important information at the extradiegetic level that frames the narrated events and is crucial for capturing the narrator’s intent. We present a data-driven modeling approach that learns to identify subjective passages that express mental and emotional states of the narrator, placing them at either the diegetic or extradiegetic level. We describe an experiment where we used narratives from personal weblog posts to measure the effectiveness of our approach across various topics in this narrative genre.
Filter
2024
Gordon, Andrew S.; Feng, Andrew
Combining the Predictions of Out-of-Domain Classifiers Using Etcetera Abduction Proceedings Article
In: 2024 58th Annual Conference on Information Sciences and Systems (CISS), pp. 1–6, IEEE, Princeton, NJ, USA, 2024, ISBN: 9798350369298.
Links | BibTeX | Tags: DTIC, Narrative, The Narrative Group, UARC
@inproceedings{gordon_combining_2024,
title = {Combining the Predictions of Out-of-Domain Classifiers Using Etcetera Abduction},
author = {Andrew S. Gordon and Andrew Feng},
url = {https://ieeexplore.ieee.org/document/10480194/},
doi = {10.1109/CISS59072.2024.10480194},
isbn = {9798350369298},
year = {2024},
date = {2024-03-01},
urldate = {2024-04-16},
booktitle = {2024 58th Annual Conference on Information Sciences and Systems (CISS)},
pages = {1–6},
publisher = {IEEE},
address = {Princeton, NJ, USA},
keywords = {DTIC, Narrative, The Narrative Group, UARC},
pubstate = {published},
tppubtype = {inproceedings}
}
2015
Roemmele, Melissa; Gordon, Andrew S.
Creative Help: A Story Writing Assistant Book Section
In: Interactive Storytelling, vol. 9445, pp. 81–92, Springer International Publishing, Copenhagen, Denmark, 2015, ISBN: 978-3-319-27036-4.
Abstract | Links | BibTeX | Tags: The Narrative Group
@incollection{roemmele_creative_2015,
title = {Creative Help: A Story Writing Assistant},
author = {Melissa Roemmele and Andrew S. Gordon},
url = {http://link.springer.com/10.1007/978-3-319-27036-4_8},
isbn = {978-3-319-27036-4},
year = {2015},
date = {2015-12-01},
booktitle = {Interactive Storytelling},
volume = {9445},
pages = {81–92},
publisher = {Springer International Publishing},
address = {Copenhagen, Denmark},
abstract = {We present Creative Help, an application that helps writers by generating suggestions for the next sentence in a story as it being written. Users can modify or delete suggestions according to their own vision of the unfolding narrative. The application tracks users' changes to suggestions in order to measure their perceived helpfulness to the story, with fewer edits indicating more helpful suggestions. We demonstrate how the edit distance between a suggestion and its resulting modi⬚cation can be used to comparatively evaluate di⬚erent models for generating suggestions. We describe a generation model that uses case-based reasoning to find relevant suggestions from a large corpus of stories. The application shows that this model generates suggestions that are more helpful than randomly selected suggestions at a level of marginal statistical signifcance. By giving users control over the generated content, Creative Help provides a new opportunity in open-domain interactive storytelling.},
keywords = {The Narrative Group},
pubstate = {published},
tppubtype = {incollection}
}
We present Creative Help, an application that helps writers by generating suggestions for the next sentence in a story as it being written. Users can modify or delete suggestions according to their own vision of the unfolding narrative. The application tracks users' changes to suggestions in order to measure their perceived helpfulness to the story, with fewer edits indicating more helpful suggestions. We demonstrate how the edit distance between a suggestion and its resulting modi⬚cation can be used to comparatively evaluate di⬚erent models for generating suggestions. We describe a generation model that uses case-based reasoning to find relevant suggestions from a large corpus of stories. The application shows that this model generates suggestions that are more helpful than randomly selected suggestions at a level of marginal statistical signifcance. By giving users control over the generated content, Creative Help provides a new opportunity in open-domain interactive storytelling.
Furbach, Ulrich; Gordon, Andrew S.; Schon, Claudia
Tackling Benchmark Problems of Commonsense Reasoning Proceedings Article
In: Proceedings of the Workshop on Bridging the Gap between Human and Automated Reasoning, pp. 47 – 59, Berlin, Germany, 2015.
Abstract | Links | BibTeX | Tags: The Narrative Group
@inproceedings{furbach_tackling_2015,
title = {Tackling Benchmark Problems of Commonsense Reasoning},
author = {Ulrich Furbach and Andrew S. Gordon and Claudia Schon},
url = {http://ict.usc.edu/pubs/Tackling%20Benchmark%20Problems%20of%20Commonsense%20Reasoning.pdf},
year = {2015},
date = {2015-08-01},
booktitle = {Proceedings of the Workshop on Bridging the Gap between Human and Automated Reasoning},
volume = {1412},
pages = {47 – 59},
address = {Berlin, Germany},
abstract = {There is increasing interest in the field of automated commonsense reasoning to find real world benchmarks to challenge and to further develop reasoning systems. One interesting example is the Triangle Choice of Plausible Alternatives (Triangle-COPA), which is a set of problems presented in first-order logic. The setting of these problems stems from the famous Heider-Simmel film used in early experiments in social psychology. This paper illustrates with two logical approaches abductive logic programming and deonitc logictextbackslashtextbackslashtextbarhow these problems can be solved. Furthermore, we propose an idea of how to use background knowledge to support the reasoning process.},
keywords = {The Narrative Group},
pubstate = {published},
tppubtype = {inproceedings}
}
There is increasing interest in the field of automated commonsense reasoning to find real world benchmarks to challenge and to further develop reasoning systems. One interesting example is the Triangle Choice of Plausible Alternatives (Triangle-COPA), which is a set of problems presented in first-order logic. The setting of these problems stems from the famous Heider-Simmel film used in early experiments in social psychology. This paper illustrates with two logical approaches abductive logic programming and deonitc logictextbackslashtextbackslashtextbarhow these problems can be solved. Furthermore, we propose an idea of how to use background knowledge to support the reasoning process.
Wienberg, Christopher; Gordon, Andrew S.
Insights on Privacy and Ethics from the Web’s Most Prolific Storytellers Proceedings Article
In: Proceedings of WebSci15, pp. 1 –10, ACM, Oxford, UK, 2015.
Abstract | Links | BibTeX | Tags: The Narrative Group, UARC
@inproceedings{wienberg_insights_2015,
title = {Insights on Privacy and Ethics from the Web’s Most Prolific Storytellers},
author = {Christopher Wienberg and Andrew S. Gordon},
url = {http://ict.usc.edu/pubs/Insights%20on%20Privacy%20and%20Ethics%20from%20the%20Web's%20Most%20Prolific%20Storytellers.pdf},
year = {2015},
date = {2015-06-01},
booktitle = {Proceedings of WebSci15},
pages = {1 –10},
publisher = {ACM},
address = {Oxford, UK},
abstract = {An analysis of narratives in English-language weblogs reveals a unique population of individuals who post personal stories with extraordinarily high frequency over extremely long periods of time. This population includes people who have posted personal narratives everyday for more than eight years. In this paper we describe our investigation of this interesting subset of web users, where we conducted ethnographic, face-to-face interviews with a sample of these bloggers (n = 11). Our ndings shed light on a culture of public documentation of private life, and provide insight into these bloggers' motivations, interactions with their readers, honesty, and thoughts on research that utilizes their data. We discuss the ethical implications for researchers working with web data, and speak to the relationship between large datasets and the real people behind them.},
keywords = {The Narrative Group, UARC},
pubstate = {published},
tppubtype = {inproceedings}
}
An analysis of narratives in English-language weblogs reveals a unique population of individuals who post personal stories with extraordinarily high frequency over extremely long periods of time. This population includes people who have posted personal narratives everyday for more than eight years. In this paper we describe our investigation of this interesting subset of web users, where we conducted ethnographic, face-to-face interviews with a sample of these bloggers (n = 11). Our ndings shed light on a culture of public documentation of private life, and provide insight into these bloggers' motivations, interactions with their readers, honesty, and thoughts on research that utilizes their data. We discuss the ethical implications for researchers working with web data, and speak to the relationship between large datasets and the real people behind them.
Garten, Justin; Sagae, Kenji; Ustun, Volkan; Dehghani, Morteza
Combining Distributed Vector Representations for Words Proceedings Article
In: Proceedings of NAACL-HLT 2015, pp. 95–101, Association for Computational Linguistics, Denver, Colorado, 2015.
Abstract | Links | BibTeX | Tags: The Narrative Group, UARC
@inproceedings{garten_combining_2015,
title = {Combining Distributed Vector Representations for Words},
author = {Justin Garten and Kenji Sagae and Volkan Ustun and Morteza Dehghani},
url = {http://ict.usc.edu/pubs/Combining%20Distributed%20Vector%20Representations%20for%20Words.pdf},
year = {2015},
date = {2015-06-01},
booktitle = {Proceedings of NAACL-HLT 2015},
pages = {95–101},
publisher = {Association for Computational Linguistics},
address = {Denver, Colorado},
abstract = {Recent interest in distributed vector representations for words has resulted in an increased diversity of approaches, each with strengths and weaknesses. We demonstrate how diverse vector representations may be inexpensively composed into hybrid representations, effectively leveraging strengths of individual components, as evidenced by substantial improvements on a standard word analogy task. We further compare these results over different sizes of training sets and find these advantages are more pronounced when training data is limited. Finally, we explore the relative impacts of the differences in the learning methods themselves and the size of the contexts they access.},
keywords = {The Narrative Group, UARC},
pubstate = {published},
tppubtype = {inproceedings}
}
Recent interest in distributed vector representations for words has resulted in an increased diversity of approaches, each with strengths and weaknesses. We demonstrate how diverse vector representations may be inexpensively composed into hybrid representations, effectively leveraging strengths of individual components, as evidenced by substantial improvements on a standard word analogy task. We further compare these results over different sizes of training sets and find these advantages are more pronounced when training data is limited. Finally, we explore the relative impacts of the differences in the learning methods themselves and the size of the contexts they access.
Maslan, Nicole; Roemmele, Melissa; Gordon, Andrew S.
One Hundred Challenge Problems for Logical Formalizations of Commonsense Psychology Proceedings Article
In: Proceedings of the Twelfth International Symposium on Logical Formalizations of Commonsense Reasoning (Commonsense-2015), Stanford, CA, 2015.
Abstract | Links | BibTeX | Tags: The Narrative Group
@inproceedings{maslan_one_2015,
title = {One Hundred Challenge Problems for Logical Formalizations of Commonsense Psychology},
author = {Nicole Maslan and Melissa Roemmele and Andrew S. Gordon},
url = {http://ict.usc.edu/pubs/One%20Hundred%20Challenge%20Problems%20for%20Logical%20Formalizations%20of%20Commonsense%20Psychology.PDF},
year = {2015},
date = {2015-03-01},
booktitle = {Proceedings of the Twelfth International Symposium on Logical Formalizations of Commonsense Reasoning (Commonsense-2015)},
address = {Stanford, CA},
abstract = {We present a new set of challenge problems for the logical formalization of commonsense knowledge, called Triangle-COPA. This set of one hundred problems is smaller than other recent commonsense reasoning question sets, but is unique in that it is specifically designed to support the development of logic-based commonsense theories, via two means. First, questions and potential answers are encoded in logical form using a fixed vocabulary of predicates, eliminating the need for sophisticated natural language processing pipelines. Second, the domain of the questions is tightly constrained so as to focus formalization efforts on one area of inference, namely the commonsense reasoning that people do about human psychology. We describe the authoring methodology used to create this problem set, and our analysis of the scope of requisite common sense knowledge. We then show an example of how problems can be solved using an implementation of weighted abduction.},
keywords = {The Narrative Group},
pubstate = {published},
tppubtype = {inproceedings}
}
We present a new set of challenge problems for the logical formalization of commonsense knowledge, called Triangle-COPA. This set of one hundred problems is smaller than other recent commonsense reasoning question sets, but is unique in that it is specifically designed to support the development of logic-based commonsense theories, via two means. First, questions and potential answers are encoded in logical form using a fixed vocabulary of predicates, eliminating the need for sophisticated natural language processing pipelines. Second, the domain of the questions is tightly constrained so as to focus formalization efforts on one area of inference, namely the commonsense reasoning that people do about human psychology. We describe the authoring methodology used to create this problem set, and our analysis of the scope of requisite common sense knowledge. We then show an example of how problems can be solved using an implementation of weighted abduction.
Maslan, Nicole; Roemmele, Melissa; Gordon, Andrew S.
An Integrated Evaluation of Perception, Interpretation, and Narration Proceedings Article
In: Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, Austin, TX, 2015.
Abstract | Links | BibTeX | Tags: The Narrative Group
@inproceedings{maslan_integrated_2015,
title = {An Integrated Evaluation of Perception, Interpretation, and Narration},
author = {Nicole Maslan and Melissa Roemmele and Andrew S. Gordon},
url = {http://ict.usc.edu/pubs/An%20Integrated%20Evaluation%20of%20Perception,%20Interpretation,%20and%20Narration.PDF},
year = {2015},
date = {2015-01-01},
booktitle = {Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence},
address = {Austin, TX},
abstract = {In this paper, we describe our efforts to create an evaluation tool to aid in the development of artificial intelligence systems that integrate perception, reasoning, and language abilities. Based on an early and influential study by social psychologists Fritz Heider and Marianne Simmel, we created 100 short movies depicting the motions of two triangles and a circle around a box with a hinged opening. For each movie, we provide quantitative information about each object's trajectory, a formal description of the actions that can be perceived in each object's behavior, a formal interpretation of the social situation that is depicted, and a short English narration of the interpreted events.},
keywords = {The Narrative Group},
pubstate = {published},
tppubtype = {inproceedings}
}
In this paper, we describe our efforts to create an evaluation tool to aid in the development of artificial intelligence systems that integrate perception, reasoning, and language abilities. Based on an early and influential study by social psychologists Fritz Heider and Marianne Simmel, we created 100 short movies depicting the motions of two triangles and a circle around a box with a hinged opening. For each movie, we provide quantitative information about each object's trajectory, a formal description of the actions that can be perceived in each object's behavior, a formal interpretation of the social situation that is depicted, and a short English narration of the interpreted events.
2014
Gordon, Andrew S.; Roemmele, Melissa
An Authoring Tool for Movies in the Style of Heider and Simmel Proceedings Article
In: Mitchell, Alex; Fernández-Vara, Clara; Thue, David (Ed.): Interactive Storytelling, pp. 49–60, Springer International Publishing, Singapore, 2014, ISBN: 978-3-319-12336-3 978-3-319-12337-0.
Abstract | Links | BibTeX | Tags: The Narrative Group
@inproceedings{gordon_authoring_2014,
title = {An Authoring Tool for Movies in the Style of Heider and Simmel},
author = {Andrew S. Gordon and Melissa Roemmele},
editor = {Alex Mitchell and Clara Fernández-Vara and David Thue},
url = {http://link.springer.com/10.1007/978-3-319-12337-0_5},
isbn = {978-3-319-12336-3 978-3-319-12337-0},
year = {2014},
date = {2014-11-01},
booktitle = {Interactive Storytelling},
volume = {8832},
pages = {49–60},
publisher = {Springer International Publishing},
address = {Singapore},
abstract = {Seventy years ago, psychologists Fritz Heider and Marianne Simmel described an influential study of the perception of intention, where a simple movie of animated geometric shapes evoked in their subjects rich narrative interpretations involving their psychology and social relationships. In this paper, we describe the Heider-Simmel Interactive Theater, a web application that allows authors to create their own movies in the style of Heider and Simmel’s original film, and associate with them a textual description of their narrative intentions. We describe an evaluation of our authoring tool in a classroom of 10th grade students, and an analysis of the movies and textual narratives that they created. Our results provide strong evidence that the authors of these films, as well as Heider and Simmel by extension, intended to convey narratives that are rich with social, cognitive, and emotional concerns.},
keywords = {The Narrative Group},
pubstate = {published},
tppubtype = {inproceedings}
}
Seventy years ago, psychologists Fritz Heider and Marianne Simmel described an influential study of the perception of intention, where a simple movie of animated geometric shapes evoked in their subjects rich narrative interpretations involving their psychology and social relationships. In this paper, we describe the Heider-Simmel Interactive Theater, a web application that allows authors to create their own movies in the style of Heider and Simmel’s original film, and associate with them a textual description of their narrative intentions. We describe an evaluation of our authoring tool in a classroom of 10th grade students, and an analysis of the movies and textual narratives that they created. Our results provide strong evidence that the authors of these films, as well as Heider and Simmel by extension, intended to convey narratives that are rich with social, cognitive, and emotional concerns.
Park, Sunghyun; Shim, Han Suk; Chatterjee, Moitreya; Sagae, Kenji; Morency, Louis-Philippe
Computational Analysis of Persuasiveness in Social Multimedia: A Novel Dataset and Multimodal Prediction Approach Proceedings Article
In: Proceedings of the 16th International Conference on Multimodal Interaction, pp. 50–57, ACM Press, 2014, ISBN: 978-1-4503-2885-2.
Abstract | Links | BibTeX | Tags: The Narrative Group, UARC, Virtual Humans
@inproceedings{park_computational_2014,
title = {Computational Analysis of Persuasiveness in Social Multimedia: A Novel Dataset and Multimodal Prediction Approach},
author = {Sunghyun Park and Han Suk Shim and Moitreya Chatterjee and Kenji Sagae and Louis-Philippe Morency},
url = {http://dl.acm.org/citation.cfm?doid=2663204.2663260},
doi = {10.1145/2663204.2663260},
isbn = {978-1-4503-2885-2},
year = {2014},
date = {2014-11-01},
booktitle = {Proceedings of the 16th International Conference on Multimodal Interaction},
pages = {50–57},
publisher = {ACM Press},
abstract = {Our lives are heavily influenced by persuasive communication, and it is essential in almost any types of social interactions from business negotiation to conversation with our friends and family. With the rapid growth of social multimedia websites, it is becoming ever more important and useful to understand persuasiveness in the context of social multimedia content online. In this paper, we introduce our newly created multimedia corpus of 1,000 movie review videos obtained from a social multimedia website called ExpoTV.com, which will be made freely available to the research community. Our research results presented here revolve around the following 3 main research hypotheses. Firstly, we show that computational descriptors derived from verbal and nonverbal behavior can be predictive of persuasiveness. We further show that combining descriptors from multiple communication modalities (audio, text and visual) improve the prediction performance compared to using those from single modality alone. Secondly, we investigate if having prior knowledge of a speaker expressing a positive or negative opinion helps better predict the speaker's persuasiveness. Lastly, we show that it is possible to make comparable prediction of persuasiveness by only looking at thin slices (shorter time windows) of a speaker's behavior.},
keywords = {The Narrative Group, UARC, Virtual Humans},
pubstate = {published},
tppubtype = {inproceedings}
}
Our lives are heavily influenced by persuasive communication, and it is essential in almost any types of social interactions from business negotiation to conversation with our friends and family. With the rapid growth of social multimedia websites, it is becoming ever more important and useful to understand persuasiveness in the context of social multimedia content online. In this paper, we introduce our newly created multimedia corpus of 1,000 movie review videos obtained from a social multimedia website called ExpoTV.com, which will be made freely available to the research community. Our research results presented here revolve around the following 3 main research hypotheses. Firstly, we show that computational descriptors derived from verbal and nonverbal behavior can be predictive of persuasiveness. We further show that combining descriptors from multiple communication modalities (audio, text and visual) improve the prediction performance compared to using those from single modality alone. Secondly, we investigate if having prior knowledge of a speaker expressing a positive or negative opinion helps better predict the speaker's persuasiveness. Lastly, we show that it is possible to make comparable prediction of persuasiveness by only looking at thin slices (shorter time windows) of a speaker's behavior.
Lubetich, Shannon; Sagae, Kenji
Data-driven Measurement of Child Language Development with Simple Syntactic Templates Proceedings Article
In: Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers, pp. 2151 – 2160, Dublin, Ireland, 2014.
Abstract | Links | BibTeX | Tags: The Narrative Group, UARC, Virtual Humans
@inproceedings{lubetich_data-driven_2014,
title = {Data-driven Measurement of Child Language Development with Simple Syntactic Templates},
author = {Shannon Lubetich and Kenji Sagae},
url = {http://ict.usc.edu/pubs/Data-driven%20Measurement%20of%20Child%20Language%20Development%20with%20Simple%20Syntactic%20Templates.pdf},
year = {2014},
date = {2014-08-01},
booktitle = {Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers},
pages = {2151 – 2160},
address = {Dublin, Ireland},
abstract = {When assessing child language development, researchers have traditionally had to choose between easily computable metrics focused on superficial aspects of language, and more expressive metrics that are carefully designed to cover specific syntactic structures and require substantial and tedious labor. Recent work has shown that existing expressive metrics for child language development can be automated and produce accurate results. We go a step further and propose that measurement of syntactic development can be performed automatically in a completely data-driven way without the need for definition of language-specific inventories of grammatical structures. As a crucial step in that direction, we show that four simple feature templates are as expressive of language development as a carefully crafted standard inventory of grammatical structures that is commonly used and has been validated empirically.},
keywords = {The Narrative Group, UARC, Virtual Humans},
pubstate = {published},
tppubtype = {inproceedings}
}
When assessing child language development, researchers have traditionally had to choose between easily computable metrics focused on superficial aspects of language, and more expressive metrics that are carefully designed to cover specific syntactic structures and require substantial and tedious labor. Recent work has shown that existing expressive metrics for child language development can be automated and produce accurate results. We go a step further and propose that measurement of syntactic development can be performed automatically in a completely data-driven way without the need for definition of language-specific inventories of grammatical structures. As a crucial step in that direction, we show that four simple feature templates are as expressive of language development as a carefully crafted standard inventory of grammatical structures that is commonly used and has been validated empirically.
Gordon, Andrew; Core, Mark; Kang, Sin-Hwa; Wang, Catherine; Wienberg, Christopher
Civilian Analogs of Army Tasks: Supporting Pedagogical Storytelling Across Domains Journal Article
In: Proceedings of the 11th International Conference of the Learning Sciences, 2014.
Abstract | Links | BibTeX | Tags: Learning Sciences, MedVR, The Narrative Group, UARC
@article{gordon_civilian_2014,
title = {Civilian Analogs of Army Tasks: Supporting Pedagogical Storytelling Across Domains},
author = {Andrew Gordon and Mark Core and Sin-Hwa Kang and Catherine Wang and Christopher Wienberg},
url = {http://ict.usc.edu/pubs/Civilian%20Analogs%20of%20Army%20Tasks%20-%20Supporting%20Pedagogical%20Storytelling%20Across%20Domains.pdf},
year = {2014},
date = {2014-06-01},
journal = {Proceedings of the 11th International Conference of the Learning Sciences},
abstract = {Storytelling is the most basic means by which people learn from the experiences of others. Advances in educational technologies offer new opportunities and experiences for learners, but risk losing the natural forms of pedagogical storytelling afforded by face-to-face teacher-student discussion. In this paper, we present a technology-supported solution to the problem of curating and algorithmically delivering relevant stories to learners in computer-based learning environments. Our approach is to mine public weblogs for textual narratives related to specific activity contexts, both inside and outside the domain of the target skillset. These stories are then linked directly to task representations in the learner model of an intelligent tutoring system, and delivered to learners along with other tutoring guidance. We demonstrate our approach to curating stories by creating collections of narratives that are analogous to tactical tasks of the U.S. Army, and evaluate the difficulty of incorporating these stories into intelligent tutoring systems.},
keywords = {Learning Sciences, MedVR, The Narrative Group, UARC},
pubstate = {published},
tppubtype = {article}
}
Storytelling is the most basic means by which people learn from the experiences of others. Advances in educational technologies offer new opportunities and experiences for learners, but risk losing the natural forms of pedagogical storytelling afforded by face-to-face teacher-student discussion. In this paper, we present a technology-supported solution to the problem of curating and algorithmically delivering relevant stories to learners in computer-based learning environments. Our approach is to mine public weblogs for textual narratives related to specific activity contexts, both inside and outside the domain of the target skillset. These stories are then linked directly to task representations in the learner model of an intelligent tutoring system, and delivered to learners along with other tutoring guidance. We demonstrate our approach to curating stories by creating collections of narratives that are analogous to tactical tasks of the U.S. Army, and evaluate the difficulty of incorporating these stories into intelligent tutoring systems.
Wienberg, Christopher; Gordon, Andrew S.
Privacy Considerations for Public Storytelling Proceedings Article
In: Proceedings of the Eighth International AAAI Conference on Weblogs and Social Media, pp. 627–630, Ann Harbor, MI, 2014.
Abstract | Links | BibTeX | Tags: The Narrative Group
@inproceedings{wienberg_privacy_2014,
title = {Privacy Considerations for Public Storytelling},
author = {Christopher Wienberg and Andrew S. Gordon},
url = {http://ict.usc.edu/pubs/Privacy%20Considerations%20for%20Public%20Storytelling.pdf},
year = {2014},
date = {2014-06-01},
booktitle = {Proceedings of the Eighth International AAAI Conference on Weblogs and Social Media},
pages = {627–630},
address = {Ann Harbor, MI},
abstract = {The popularity of the web and social media have afforded researchers unparalleled access to content about the daily lives of people. Human research ethics guidelines, while actively expanding to meet the new challenges posed by web research, still rely on offline principles of interaction that are a poor fit to modern technology. In this context, we present a study of the identifiability of authors of socially sensitive content. With the goal of identity obfuscation, we compare this to the identifiability of the same content translated to and then back from a foreign language, focusing on how easily a person could locate the original source of the content. We discuss the risk to these authors presented by dissemination of their content, and consider the implications for research ethics guidelines.},
keywords = {The Narrative Group},
pubstate = {published},
tppubtype = {inproceedings}
}
The popularity of the web and social media have afforded researchers unparalleled access to content about the daily lives of people. Human research ethics guidelines, while actively expanding to meet the new challenges posed by web research, still rely on offline principles of interaction that are a poor fit to modern technology. In this context, we present a study of the identifiability of authors of socially sensitive content. With the goal of identity obfuscation, we compare this to the identifiability of the same content translated to and then back from a foreign language, focusing on how easily a person could locate the original source of the content. We discuss the risk to these authors presented by dissemination of their content, and consider the implications for research ethics guidelines.
Vigil, Jesse; Tait, Asa Shumskas; Wienberg, Christopher; Gordon, Andrew S.
Friends You Haven’t Met Yet: A Documentary Short Film Proceedings Article
In: Proceedings of the 2014 ACM conference on Web science, pp. 176–176, ACM Press, Bloomington, IN, 2014, ISBN: 978-1-4503-2622-3.
Abstract | Links | BibTeX | Tags: The Narrative Group, UARC
@inproceedings{vigil_friends_2014,
title = {Friends You Haven’t Met Yet: A Documentary Short Film},
author = {Jesse Vigil and Asa Shumskas Tait and Christopher Wienberg and Andrew S. Gordon},
url = {http://dl.acm.org/citation.cfm?doid=2615569.2617797},
doi = {10.1145/2615569.2617797},
isbn = {978-1-4503-2622-3},
year = {2014},
date = {2014-06-01},
booktitle = {Proceedings of the 2014 ACM conference on Web science},
pages = {176–176},
publisher = {ACM Press},
address = {Bloomington, IN},
abstract = {"Friends You Haven't Met Yet" is a documentary short film that chronicles encounters between extremely prolific bloggers and a computer scientist who uses their personal narratives for research. It explores issues related to public sharing of personal stories, the ethical obligations of researchers who use web data, and the changing nature of online privacy. The film was conceived by Andrew Gordon and Christopher Wienberg at the University of Southern California, whose research involves the collection of millions of personal stories posted to internet weblogs. In analyzing their data, these researchers discovered an unusual population of extremely prolific bloggers, people who post personal stories about their daily lives everyday over the course of many years. They posed three questions about this population: 1. What motivates these people to post so frequently and publicly about their personal life? 2. To what degree do these people embellish their stories to make them more interesting than reality? 3. What expectations do these authors have about their readers, and what are the ethical implications for researchers like us who analyze their posts? To answer these questions, PhD Student Christopher Wienberg contacted many of these bloggers directly and set up face-to-face interviews at their homes. Accompanied by a documentary film crew, Christopher traveled to locations around California, in both urban and rural settings, to better understand the people whose contributions on the web serve as data in social media research.},
keywords = {The Narrative Group, UARC},
pubstate = {published},
tppubtype = {inproceedings}
}
"Friends You Haven't Met Yet" is a documentary short film that chronicles encounters between extremely prolific bloggers and a computer scientist who uses their personal narratives for research. It explores issues related to public sharing of personal stories, the ethical obligations of researchers who use web data, and the changing nature of online privacy. The film was conceived by Andrew Gordon and Christopher Wienberg at the University of Southern California, whose research involves the collection of millions of personal stories posted to internet weblogs. In analyzing their data, these researchers discovered an unusual population of extremely prolific bloggers, people who post personal stories about their daily lives everyday over the course of many years. They posed three questions about this population: 1. What motivates these people to post so frequently and publicly about their personal life? 2. To what degree do these people embellish their stories to make them more interesting than reality? 3. What expectations do these authors have about their readers, and what are the ethical implications for researchers like us who analyze their posts? To answer these questions, PhD Student Christopher Wienberg contacted many of these bloggers directly and set up face-to-face interviews at their homes. Accompanied by a documentary film crew, Christopher traveled to locations around California, in both urban and rural settings, to better understand the people whose contributions on the web serve as data in social media research.
Rahimtoroghi, Elahe; Corcoran, Thomas; Swanson, Reid; Walker, Marilyn A.; Sagae, Kenji; Gordon, Andrew S.
Minimal Narrative Annotation Schemes and Their Applications Proceedings Article
In: Intelligent Narrative Technologies 7: Papers from the 2014 Workshop, Milwaukee, WI, 2014.
Abstract | Links | BibTeX | Tags: The Narrative Group
@inproceedings{rahimtoroghi_minimal_2014,
title = {Minimal Narrative Annotation Schemes and Their Applications},
author = {Elahe Rahimtoroghi and Thomas Corcoran and Reid Swanson and Marilyn A. Walker and Kenji Sagae and Andrew S. Gordon},
url = {http://ict.usc.edu/pubs/Minimal%20Narrative%20Annotation%20Schemes%20and%20Their%20Applications.PDF},
year = {2014},
date = {2014-06-01},
booktitle = {Intelligent Narrative Technologies 7: Papers from the 2014 Workshop},
address = {Milwaukee, WI},
abstract = {The increased use of large corpora in narrative research has created new opportunities for empirical research and intelligent narrative technologies. To best exploit the value of these corpora, several research groups are eschewing complex discourse analysis techniques in favor of high-level minimalist narrative annotation schemes that can be quickly applied, achieve high inter-rater agreement, and are amenable to automation using machine-learning techniques. In this paper we compare different annotation schemes that have been employed by two groups of researchers to annotate large corpora of narrative text. Using a dualannotation methodology, we investigate the correlation between narrative clauses distinguished by their structural role (orientation, action, evaluation), their subjectivity, and their narrative level within the discourse. We find that each simple narrative annotation scheme captures a structurally distinct characteristic of real-world narratives, and each combination of labels is evident in a corpus of 19 weblog narratives (951 narrative clauses). We discuss several potential applications of minimalist narrative annotation schemes, noting the combination of label across these two annotation schemes that best support each task.},
keywords = {The Narrative Group},
pubstate = {published},
tppubtype = {inproceedings}
}
The increased use of large corpora in narrative research has created new opportunities for empirical research and intelligent narrative technologies. To best exploit the value of these corpora, several research groups are eschewing complex discourse analysis techniques in favor of high-level minimalist narrative annotation schemes that can be quickly applied, achieve high inter-rater agreement, and are amenable to automation using machine-learning techniques. In this paper we compare different annotation schemes that have been employed by two groups of researchers to annotate large corpora of narrative text. Using a dualannotation methodology, we investigate the correlation between narrative clauses distinguished by their structural role (orientation, action, evaluation), their subjectivity, and their narrative level within the discourse. We find that each simple narrative annotation scheme captures a structurally distinct characteristic of real-world narratives, and each combination of labels is evident in a corpus of 19 weblog narratives (951 narrative clauses). We discuss several potential applications of minimalist narrative annotation schemes, noting the combination of label across these two annotation schemes that best support each task.
Hobbs, Jerry R.; Gordon, Andrew
Axiomatizing Complex Concepts from Fundamentals Book Section
In: Hutchison, David; Kanade, Takeo; Kittler, Josef; Kleinberg, Jon M.; Mattern, Friedemann; Mitchell, John C.; Naor, Moni; Nierstrasz, Oscar; Rangan, C. Pandu; Steffen, Bernhard; Sudan, Madhu; Terzopoulos, Demetri; Tygar, Doug; Vardi, Moshe Y.; Weikum, Gerhard; Gelbukh, Alexander (Ed.): Computational Linguistics and Intelligent Text Processing, pp. 351–365, Springer Berlin Heidelberg, Berlin, Heidelberg, 2014, ISBN: 978-3-642-54905-2 978-3-642-54906-9.
Abstract | Links | BibTeX | Tags: The Narrative Group
@incollection{hobbs_axiomatizing_2014,
title = {Axiomatizing Complex Concepts from Fundamentals},
author = {Jerry R. Hobbs and Andrew Gordon},
editor = {David Hutchison and Takeo Kanade and Josef Kittler and Jon M. Kleinberg and Friedemann Mattern and John C. Mitchell and Moni Naor and Oscar Nierstrasz and C. Pandu Rangan and Bernhard Steffen and Madhu Sudan and Demetri Terzopoulos and Doug Tygar and Moshe Y. Vardi and Gerhard Weikum and Alexander Gelbukh},
url = {http://link.springer.com/10.1007/978-3-642-54906-9_29},
isbn = {978-3-642-54905-2 978-3-642-54906-9},
year = {2014},
date = {2014-04-01},
booktitle = {Computational Linguistics and Intelligent Text Processing},
pages = {351–365},
publisher = {Springer Berlin Heidelberg},
address = {Berlin, Heidelberg},
abstract = {We have been engaged in the project of encoding commonsense theories of cognition, or how we think we think, in a logical representation. In this paper we use the concept of a “serious threat” as our prime example, and examine the infrastructure required for capturing the meaning of this complex concept. It is one of many examples we could have used, but it is particularly interesting because building up to this concept from fundamentals, such as causality and scalar notions, highlights a number of representational issues that have to be faced along the way, where the complexity of the target concepts strongly influences how we resolve those issues. We first describe our approach to definition, defeasibility, and reification, where hard decisions have to bemade to get the enterprise off the ground.We then sketch our approach to causality, scalar notions, goals, and importance. Finally we use all this to characterize what it is to be a serious threat. All of this is necessarily sketchy, but the key ideas essential to the target concept should be clear.},
keywords = {The Narrative Group},
pubstate = {published},
tppubtype = {incollection}
}
We have been engaged in the project of encoding commonsense theories of cognition, or how we think we think, in a logical representation. In this paper we use the concept of a “serious threat” as our prime example, and examine the infrastructure required for capturing the meaning of this complex concept. It is one of many examples we could have used, but it is particularly interesting because building up to this concept from fundamentals, such as causality and scalar notions, highlights a number of representational issues that have to be faced along the way, where the complexity of the target concepts strongly influences how we resolve those issues. We first describe our approach to definition, defeasibility, and reification, where hard decisions have to bemade to get the enterprise off the ground.We then sketch our approach to causality, scalar notions, goals, and importance. Finally we use all this to characterize what it is to be a serious threat. All of this is necessarily sketchy, but the key ideas essential to the target concept should be clear.
Koh, Sukjin; Gordon, Andrew S; Wienberg, Christopher; Sood, Sara O; Morley, Stephanie; Burke, Deborah M
Stroke Experiences in Weblogs: A Feasibility Study of Sex Differences Journal Article
In: Journal of Medical Internet Research, vol. 16, no. 3, pp. e84, 2014, ISSN: 14388871.
Abstract | Links | BibTeX | Tags: The Narrative Group, UARC
@article{koh_stroke_2014,
title = {Stroke Experiences in Weblogs: A Feasibility Study of Sex Differences},
author = {Sukjin Koh and Andrew S Gordon and Christopher Wienberg and Sara O Sood and Stephanie Morley and Deborah M Burke},
url = {http://ict.usc.edu/pubs/Stroke%20Experiences%20in%20Weblogs%20-%20A%20Feasibility%20Study%20of%20Sex%20Differences.pdf},
doi = {10.2196/jmir.2838},
issn = {14388871},
year = {2014},
date = {2014-03-01},
journal = {Journal of Medical Internet Research},
volume = {16},
number = {3},
pages = {e84},
abstract = {Research on cerebral stroke symptoms using hospital records has reported that women experience more nontraditional symptoms of stroke (eg, mental status change, pain) than men do. This is an important issue because nontraditional symptoms may delay the decision to get medical assistance and increase the difficulty of correct diagnosis. In the present study, we investigate sex differences in the stroke experience as described in stories on weblogs.},
keywords = {The Narrative Group, UARC},
pubstate = {published},
tppubtype = {article}
}
Research on cerebral stroke symptoms using hospital records has reported that women experience more nontraditional symptoms of stroke (eg, mental status change, pain) than men do. This is an important issue because nontraditional symptoms may delay the decision to get medical assistance and increase the difficulty of correct diagnosis. In the present study, we investigate sex differences in the stroke experience as described in stories on weblogs.
Roemmele, Melissa; Archer-McClellan, Haley; Gordon, Andrew S.
Triangle charades: a data-collection game for recognizing actions in motion trajectories Proceedings Article
In: Proceedings of the 19th international conference on Intelligent User Interfaces, pp. 209–214, ACM Press, Haifa, Israel, 2014, ISBN: 978-1-4503-2184-6.
Abstract | Links | BibTeX | Tags: The Narrative Group
@inproceedings{roemmele_triangle_2014,
title = {Triangle charades: a data-collection game for recognizing actions in motion trajectories},
author = {Melissa Roemmele and Haley Archer-McClellan and Andrew S. Gordon},
url = {http://dl.acm.org/citation.cfm?doid=2557500.2557510},
doi = {10.1145/2557500.2557510},
isbn = {978-1-4503-2184-6},
year = {2014},
date = {2014-02-01},
booktitle = {Proceedings of the 19th international conference on Intelligent User Interfaces},
pages = {209–214},
publisher = {ACM Press},
address = {Haifa, Israel},
abstract = {Humans have a remarkable tendency to anthropomorphize moving objects, ascribing to them intentions and emotions as if they were human. Early social psychology research demonstrated that animated film clips depicting the movements of simple geometric shapes could elicit rich interpretations of intentional behavior from viewers. In attempting to model this reasoning process in software, we first address the problem of automatically recognizing humanlike actions in the trajectories of moving shapes. There are two main difficulties. First, there is no defined vocabulary of actions that are recognizable to people from motion trajectories. Second, in order for an automated system to learn actions from motion trajectories using machine-learning techniques, a vast amount of these actiontrajectory pairs is needed as training data. This paper describes an approach to data collection that resolves both of these problems. In a web-based game, called Triangle Charades, players create motion trajectories for actions by animating a triangle to depict those actions. Other players view these animations and guess the action they depict. An action is considered recognizable if players can correctly guess it from animations. To move towards defining a controlled vocabulary and collecting a large dataset, we conducted a pilot study in which 87 users played Triangle Charades. Based on this data, we computed a simple metric for action recognizability. Scores on this metric formed a gradual linear pattern, suggesting there is no clear cutoff for determining if an action is recognizable from motion data. These initial results demonstrate the advantages of using a game to collect data for this action recognition task.},
keywords = {The Narrative Group},
pubstate = {published},
tppubtype = {inproceedings}
}
Humans have a remarkable tendency to anthropomorphize moving objects, ascribing to them intentions and emotions as if they were human. Early social psychology research demonstrated that animated film clips depicting the movements of simple geometric shapes could elicit rich interpretations of intentional behavior from viewers. In attempting to model this reasoning process in software, we first address the problem of automatically recognizing humanlike actions in the trajectories of moving shapes. There are two main difficulties. First, there is no defined vocabulary of actions that are recognizable to people from motion trajectories. Second, in order for an automated system to learn actions from motion trajectories using machine-learning techniques, a vast amount of these actiontrajectory pairs is needed as training data. This paper describes an approach to data collection that resolves both of these problems. In a web-based game, called Triangle Charades, players create motion trajectories for actions by animating a triangle to depict those actions. Other players view these animations and guess the action they depict. An action is considered recognizable if players can correctly guess it from animations. To move towards defining a controlled vocabulary and collecting a large dataset, we conducted a pilot study in which 87 users played Triangle Charades. Based on this data, we computed a simple metric for action recognizability. Scores on this metric formed a gradual linear pattern, suggesting there is no clear cutoff for determining if an action is recognizable from motion data. These initial results demonstrate the advantages of using a game to collect data for this action recognition task.
2013
Ovchinnikova, Ekaterina; Gordon, Andrew S.; Hobbs, Jerry R.
Abduction for Discourse Interpretation: A Probabilistic Framework Proceedings Article
In: Proceedings of the Joint Symposium on Semantic Processing, pp. 42–50, Trento, Italy, 2013.
Abstract | Links | BibTeX | Tags: The Narrative Group
@inproceedings{ovchinnikova_abduction_2013,
title = {Abduction for Discourse Interpretation: A Probabilistic Framework},
author = {Ekaterina Ovchinnikova and Andrew S. Gordon and Jerry R. Hobbs},
url = {http://ict.usc.edu/pubs/Abduction%20for%20Discourse%20Interpretation%20-%20A%20Probabilistic%20Framework.%20Joint%20Symposium%20on%20Semantic%20Processing.PDF},
year = {2013},
date = {2013-11-01},
booktitle = {Proceedings of the Joint Symposium on Semantic Processing},
pages = {42–50},
address = {Trento, Italy},
abstract = {Abduction allows us to model interpretation of discourse as the explanation of observables, given additional knowledge about the world. In an abductive framework, many explanations can be constructed for the same observation, requiring an approach to estimate the likelihood of these alternative explanations. We show that, for discourse interpretation, weighted abduction has advantages over alternative approaches to estimating the likelihood of hypotheses. However, weighted abduction has no probabilistic interpretation, which makes the estimation and learning of weights difficult. To address this, we propose a formal probabilistic abductive framework that captures the advantages weighted abduction when applied to discourse interpretation.},
keywords = {The Narrative Group},
pubstate = {published},
tppubtype = {inproceedings}
}
Abduction allows us to model interpretation of discourse as the explanation of observables, given additional knowledge about the world. In an abductive framework, many explanations can be constructed for the same observation, requiring an approach to estimate the likelihood of these alternative explanations. We show that, for discourse interpretation, weighted abduction has advantages over alternative approaches to estimating the likelihood of hypotheses. However, weighted abduction has no probabilistic interpretation, which makes the estimation and learning of weights difficult. To address this, we propose a formal probabilistic abductive framework that captures the advantages weighted abduction when applied to discourse interpretation.
Gordon, Andrew S.; Huangfu, Luwen; Sagae, Kenji; Mao, Wenji; Chen, Wen
Identifying Personal Narratives in Chinese Weblog Posts Proceedings Article
In: Intelligent Narrative Technologies Workshop, Boston, MA, 2013.
Abstract | Links | BibTeX | Tags: The Narrative Group
@inproceedings{gordon_identifying_2013,
title = {Identifying Personal Narratives in Chinese Weblog Posts},
author = {Andrew S. Gordon and Luwen Huangfu and Kenji Sagae and Wenji Mao and Wen Chen},
url = {http://ict.usc.edu/pubs/Identifying%20Personal%20Narratives%20in%20Chinese%20Weblog%20Posts.PDF},
year = {2013},
date = {2013-10-01},
booktitle = {Intelligent Narrative Technologies Workshop},
address = {Boston, MA},
abstract = {Automated text classification technologies have enabled researchers to amass enormous collections of personal narratives posted to English-language weblogs. In this paper, we explore analogous approachesto identify personal narratives in Chinese weblog posts as a precursor to the future empirical studies of cross-cultural differences in narrative structure. We describe the collection of over half a million posts from a popular Chinese weblog hosting service, and the manual annotation of story and nonstory content in sampled posts. Using supervised machine learning methods, we developed an automated text classifier for personal narratives in Chinese posts, achieving classification accuracy comparable to previous work in English. Using this classifier, we automatically identify over sixty-four thousand personal narratives for use in future cross-cultural analyses and Chinese-language applications of narrative corpora.},
keywords = {The Narrative Group},
pubstate = {published},
tppubtype = {inproceedings}
}
Automated text classification technologies have enabled researchers to amass enormous collections of personal narratives posted to English-language weblogs. In this paper, we explore analogous approachesto identify personal narratives in Chinese weblog posts as a precursor to the future empirical studies of cross-cultural differences in narrative structure. We describe the collection of over half a million posts from a popular Chinese weblog hosting service, and the manual annotation of story and nonstory content in sampled posts. Using supervised machine learning methods, we developed an automated text classifier for personal narratives in Chinese posts, achieving classification accuracy comparable to previous work in English. Using this classifier, we automatically identify over sixty-four thousand personal narratives for use in future cross-cultural analyses and Chinese-language applications of narrative corpora.
Sagae, Kenji; Gordon, Andrew S.; Dehghani, Morteza; Metke, Mike; Kim, Jackie S.; Gimbel, Sarah I.; Tipper, Christine; Kaplan, Jonas; Immordino-Yang, Mary Helen
A Data-Driven Approach for Classification of Subjectivity in Personal Narratives Proceedings Article
In: Workshop on Computational Models of Narrative, Hamburg, Germany, 2013.
Abstract | Links | BibTeX | Tags: The Narrative Group
@inproceedings{sagae_data-driven_2013,
title = {A Data-Driven Approach for Classification of Subjectivity in Personal Narratives},
author = {Kenji Sagae and Andrew S. Gordon and Morteza Dehghani and Mike Metke and Jackie S. Kim and Sarah I. Gimbel and Christine Tipper and Jonas Kaplan and Mary Helen Immordino-Yang},
url = {http://ict.usc.edu/pubs/A%20Data-Driven%20Approach%20for%20Classi%EF%AC%81cation%20of%20Subjectivity%20in%20Personal%20Narratives.PDF},
year = {2013},
date = {2013-08-01},
booktitle = {Workshop on Computational Models of Narrative},
address = {Hamburg, Germany},
abstract = {Personal narratives typically involve a narrator who participates in a sequence of events in the past. The narrator is therefore present at two narrative levels: (1) the extradiegetic level, where the act of narration takes place, with the narrator addressing an audience directly; and (2) the diegetic level, where the events in the story take place, with the narrator as a participant (usually the protagonist). Although story understanding is commonly associated with semantics of the diegetic level (i.e., understanding the events that take place within the story), personal narratives may also contain important information at the extradiegetic level that frames the narrated events and is crucial for capturing the narrator’s intent. We present a data-driven modeling approach that learns to identify subjective passages that express mental and emotional states of the narrator, placing them at either the diegetic or extradiegetic level. We describe an experiment where we used narratives from personal weblog posts to measure the effectiveness of our approach across various topics in this narrative genre.},
keywords = {The Narrative Group},
pubstate = {published},
tppubtype = {inproceedings}
}
Personal narratives typically involve a narrator who participates in a sequence of events in the past. The narrator is therefore present at two narrative levels: (1) the extradiegetic level, where the act of narration takes place, with the narrator addressing an audience directly; and (2) the diegetic level, where the events in the story take place, with the narrator as a participant (usually the protagonist). Although story understanding is commonly associated with semantics of the diegetic level (i.e., understanding the events that take place within the story), personal narratives may also contain important information at the extradiegetic level that frames the narrated events and is crucial for capturing the narrator’s intent. We present a data-driven modeling approach that learns to identify subjective passages that express mental and emotional states of the narrator, placing them at either the diegetic or extradiegetic level. We describe an experiment where we used narratives from personal weblog posts to measure the effectiveness of our approach across various topics in this narrative genre.
Gordon, Andrew S.; Hobbs, Jerry R.; Ovchinnikova, Hatya; Roemmele, Melissa; Morency, Louis-Philippe
Abduction of Mental States with a Formal Theory of Commonsense Psychology (Abstract only) Proceedings Article
In: CogSci 2013, Berlin, Germany, 2013.
Abstract | Links | BibTeX | Tags: The Narrative Group
@inproceedings{gordon_abduction_2013,
title = {Abduction of Mental States with a Formal Theory of Commonsense Psychology (Abstract only)},
author = {Andrew S. Gordon and Jerry R. Hobbs and Hatya Ovchinnikova and Melissa Roemmele and Louis-Philippe Morency},
url = {http://ict.usc.edu/pubs/Abduction%20of%20Mental%20States%20with%20a%20Formal%20Theory%20of%20Commonsense%20Psychology%20(Abstract%20only).pdf},
year = {2013},
date = {2013-07-01},
booktitle = {CogSci 2013},
address = {Berlin, Germany},
abstract = {Successful communication and collaboration between humans and intelligent agents of the future will require a robust ability to algorithmically infer the subjective mental states of the human participants. As in human to human interaction, the central concerns of plans, goals, emotions, and beliefs of another must inferred from a mix of explicit and implicit evidence in language, along with contextual and behavioral cues. We propose that this cognitive ability of mental model ascription is best conceived as a process of abduction, where a hypothetical explanation is inferred to account for observable evidence. In this approach, speech and other behavior of a person are observables that require explanation, where the challenge is to find a theoretical explanation that requires the fewest assumptions. Recent advances in abduction-based language processing [1] have led to efficient implementations of Hobbs's conception of weighted-abduction [2], where textual inputs (observations) are explained by searching a knowledgebase of logical axioms for the least-cost proof, with cost incurred when assumptions are asserted.},
keywords = {The Narrative Group},
pubstate = {published},
tppubtype = {inproceedings}
}
Successful communication and collaboration between humans and intelligent agents of the future will require a robust ability to algorithmically infer the subjective mental states of the human participants. As in human to human interaction, the central concerns of plans, goals, emotions, and beliefs of another must inferred from a mix of explicit and implicit evidence in language, along with contextual and behavioral cues. We propose that this cognitive ability of mental model ascription is best conceived as a process of abduction, where a hypothetical explanation is inferred to account for observable evidence. In this approach, speech and other behavior of a person are observables that require explanation, where the challenge is to find a theoretical explanation that requires the fewest assumptions. Recent advances in abduction-based language processing [1] have led to efficient implementations of Hobbs's conception of weighted-abduction [2], where textual inputs (observations) are explained by searching a knowledgebase of logical axioms for the least-cost proof, with cost incurred when assumptions are asserted.
Wienberg, Christopher; Roemmele, Melissa; Gordon, Andrew S.
Content-Based Similarity Measures of Weblog Authors Proceedings Article
In: ACM Web Science Conference, Paris, France, 2013.
Abstract | Links | BibTeX | Tags: The Narrative Group, UARC
@inproceedings{wienberg_content-based_2013,
title = {Content-Based Similarity Measures of Weblog Authors},
author = {Christopher Wienberg and Melissa Roemmele and Andrew S. Gordon},
url = {http://ict.usc.edu/pubs/Content-Based%20Similarity%20Measures%20of%20Weblog%20Authors.PDF},
year = {2013},
date = {2013-05-01},
booktitle = {ACM Web Science Conference},
address = {Paris, France},
abstract = {With recent research interest in the confounding roles of homophily and contagion in studies of social influence, there is a strong need for reliable content-based measures of the similarity between people. In this paper, we investigate the use of text similarity measures as a way of predicting the similarity of prolific weblog authors. We describe a novel method of collecting human judgments of overall similarity between two authors, as well as demographic, political, cultural, religious, values, hobbies/interests, personality, and writing style similarity. We then apply a range of automated textual similarity measures based on word frequency counts, and calculate their statistical correlation with human judgments. Our findings indicate that commonly used text similarity measures do not correlate well with human judgments of author similarity. However, various measures that pay special attention to personal pronouns and their context correlate significantly with different facets of similarity.},
keywords = {The Narrative Group, UARC},
pubstate = {published},
tppubtype = {inproceedings}
}
With recent research interest in the confounding roles of homophily and contagion in studies of social influence, there is a strong need for reliable content-based measures of the similarity between people. In this paper, we investigate the use of text similarity measures as a way of predicting the similarity of prolific weblog authors. We describe a novel method of collecting human judgments of overall similarity between two authors, as well as demographic, political, cultural, religious, values, hobbies/interests, personality, and writing style similarity. We then apply a range of automated textual similarity measures based on word frequency counts, and calculate their statistical correlation with human judgments. Our findings indicate that commonly used text similarity measures do not correlate well with human judgments of author similarity. However, various measures that pay special attention to personal pronouns and their context correlate significantly with different facets of similarity.
2012
Wienberg, Christopher; Gordon, Andrew S.
PhotoFall: Discovering Weblog Stories Through Photographs Proceedings Article
In: ACM Conference on Information and Knowledge Management, Maui, Hawaii, 2012.
Abstract | Links | BibTeX | Tags: The Narrative Group, UARC
@inproceedings{wienberg_photofall_2012,
title = {PhotoFall: Discovering Weblog Stories Through Photographs},
author = {Christopher Wienberg and Andrew S. Gordon},
url = {http://ict.usc.edu/pubs/PhotoFall-%20Discovering%20Weblog%20Stories%20Through%20Photographs.PDF},
year = {2012},
date = {2012-10-01},
booktitle = {ACM Conference on Information and Knowledge Management},
address = {Maui, Hawaii},
abstract = {An effective means of retrieving relevant photographs from the web is to search for terms that would likely appear in the surrounding text in multimedia documents. In this paper, we investigate the complementary search strategy, where relevant multimedia documents are retrieved using the photographs they contain. We concentrate our efforts on the retrieval of large numbers of personal stories posted to Internet weblogs that are relevant to a particular search topic. Photographs are often included in posts of this sort, typically taken by the author during the course of the narrated events of the story. We describe a new story search tool, PhotoFall, which allows users to quickly find stories related to their topic of interest by judging the relevance of the photographs extracted from top search results. We evaluate the accuracy of relevance judgments made using this interface, and discuss the implications of the results for improving topic-based searches of multimedia content.},
keywords = {The Narrative Group, UARC},
pubstate = {published},
tppubtype = {inproceedings}
}
An effective means of retrieving relevant photographs from the web is to search for terms that would likely appear in the surrounding text in multimedia documents. In this paper, we investigate the complementary search strategy, where relevant multimedia documents are retrieved using the photographs they contain. We concentrate our efforts on the retrieval of large numbers of personal stories posted to Internet weblogs that are relevant to a particular search topic. Photographs are often included in posts of this sort, typically taken by the author during the course of the narrated events of the story. We describe a new story search tool, PhotoFall, which allows users to quickly find stories related to their topic of interest by judging the relevance of the photographs extracted from top search results. We evaluate the accuracy of relevance judgments made using this interface, and discuss the implications of the results for improving topic-based searches of multimedia content.
Swanson, Reid; Gordon, Andrew S.
Say Anything: Using Textual Case-Based Reasoning to Enable Open-Domain Interactive Storytelling Journal Article
In: ACM Transactions on Interactive Intelligent Systems (TiiS), vol. 2, no. 3, 2012.
Abstract | Links | BibTeX | Tags: The Narrative Group
@article{swanson_say_2012,
title = {Say Anything: Using Textual Case-Based Reasoning to Enable Open-Domain Interactive Storytelling},
author = {Reid Swanson and Andrew S. Gordon},
url = {http://ict.usc.edu/pubs/Say%20Anything-%20Using%20Textual%20Case-Based%20Reasoning%20to%20Enable%20Open-Domain%20Interactive%20Storytelling.pdf},
year = {2012},
date = {2012-09-01},
journal = {ACM Transactions on Interactive Intelligent Systems (TiiS)},
volume = {2},
number = {3},
abstract = {We describe Say Anything, a new interactive storytelling system that collaboratively writes textual narra- tives with human users. Unlike previous attempts, this interactive storytelling system places no restrictions on the content or direction of the user’s contribution to the emerging storyline. In response to these contri- butions, the computer continues the storyline with narration that is both coherent and entertaining. This capacity for open-domain interactive storytelling is enabled by an extremely large repository of nonfiction personal stories, which is used as a knowledge base in a case-based reasoning architecture. In this article, we describe the three main components of our case-based reasoning approach: a million-item corpus of personal stories mined from internet weblogs, a case retrieval strategy that is optimized for narrative coherence, and an adaptation strategy that ensures that repurposed sentences from the case base are appropriate for the user’s emerging fiction. We describe a series of evaluations of the system’s ability to produce coherent and entertaining stories, and we compare these narratives with single-author stories posted to internet weblogs.},
keywords = {The Narrative Group},
pubstate = {published},
tppubtype = {article}
}
We describe Say Anything, a new interactive storytelling system that collaboratively writes textual narra- tives with human users. Unlike previous attempts, this interactive storytelling system places no restrictions on the content or direction of the user’s contribution to the emerging storyline. In response to these contri- butions, the computer continues the storyline with narration that is both coherent and entertaining. This capacity for open-domain interactive storytelling is enabled by an extremely large repository of nonfiction personal stories, which is used as a knowledge base in a case-based reasoning architecture. In this article, we describe the three main components of our case-based reasoning approach: a million-item corpus of personal stories mined from internet weblogs, a case retrieval strategy that is optimized for narrative coherence, and an adaptation strategy that ensures that repurposed sentences from the case base are appropriate for the user’s emerging fiction. We describe a series of evaluations of the system’s ability to produce coherent and entertaining stories, and we compare these narratives with single-author stories posted to internet weblogs.
Gordon, Andrew S.; Wienberg, Christopher
Different Strokes of Different Folks: Searching for Health Narratives in Weblogs Proceedings Article
In: ASE/IEEE International Conference on Social Computing, Amsterdam, The Netherlands, 2012.
Abstract | Links | BibTeX | Tags: The Narrative Group
@inproceedings{gordon_different_2012,
title = {Different Strokes of Different Folks: Searching for Health Narratives in Weblogs},
author = {Andrew S. Gordon and Christopher Wienberg},
url = {http://ict.usc.edu/pubs/Different%20Strokes%20of%20Different%20Folks-%20Searching%20for%20Health%20Narratives%20in%20Weblogs.PDF},
year = {2012},
date = {2012-09-01},
booktitle = {ASE/IEEE International Conference on Social Computing},
address = {Amsterdam, The Netherlands},
abstract = {The utility of storytelling in the interaction between healthcare providers and patients is now firmly established, but the potential use of large-scale story collections for health-related inquiry has not yet been explored. In particular, the enormous scale of storytelling in personal weblogs offers investigators in health-related fields new opportunities to study the behavior and beliefs of diverse patient populations outside of clinical settings. In this paper we address the technical challenges in identifying personal stories about specific health issues from corpora of millions of weblog posts. We describe a novel infrastructure for collecting and indexing the stories posted each day to Englishlanguage weblogs, coupled with user interfaces designed to support targeted searches of these collections. We evaluate the effectiveness of this search technology in an effort to identify hundreds of first person and third person accounts of strokes, for the purpose of studying gender differences in the way that these health emergencies are described. Results indicate that the use of relevance feedback significantly improves the effectiveness of the search. We conclude with a discussion of sample biases that are inherent in weblog storytelling and heightened by our approach, and propose ways to mitigate these biases.},
keywords = {The Narrative Group},
pubstate = {published},
tppubtype = {inproceedings}
}
The utility of storytelling in the interaction between healthcare providers and patients is now firmly established, but the potential use of large-scale story collections for health-related inquiry has not yet been explored. In particular, the enormous scale of storytelling in personal weblogs offers investigators in health-related fields new opportunities to study the behavior and beliefs of diverse patient populations outside of clinical settings. In this paper we address the technical challenges in identifying personal stories about specific health issues from corpora of millions of weblog posts. We describe a novel infrastructure for collecting and indexing the stories posted each day to Englishlanguage weblogs, coupled with user interfaces designed to support targeted searches of these collections. We evaluate the effectiveness of this search technology in an effort to identify hundreds of first person and third person accounts of strokes, for the purpose of studying gender differences in the way that these health emergencies are described. Results indicate that the use of relevance feedback significantly improves the effectiveness of the search. We conclude with a discussion of sample biases that are inherent in weblog storytelling and heightened by our approach, and propose ways to mitigate these biases.
Karacora, Bilge; Dehghani, Morteza; Krämer-Mertens, Nicole C.; Gratch, Jonathan
The Influence of Virtual Agents' Gender and Rapport on Enhancing Math Performance Proceedings Article
In: Proceedings of the 34th Annual Meeting of the Cognitive Science Society (CogSci), pp. 563 – 568, Sapporo, Japan, 2012.
Abstract | Links | BibTeX | Tags: The Narrative Group, Virtual Humans
@inproceedings{karacora_influence_2012,
title = {The Influence of Virtual Agents' Gender and Rapport on Enhancing Math Performance},
author = {Bilge Karacora and Morteza Dehghani and Nicole C. Krämer-Mertens and Jonathan Gratch},
url = {http://ict.usc.edu/pubs/The%20Influence%20of%20Virtual%20Agents%e2%80%99%20Gender%20and%20Rapport%20on%20Enhancing%20Math%20Performance.pdf},
year = {2012},
date = {2012-08-01},
booktitle = {Proceedings of the 34th Annual Meeting of the Cognitive Science Society (CogSci)},
pages = {563 – 568},
address = {Sapporo, Japan},
abstract = {The purpose of the present research is to investigate whether virtual agents can help enhance participants’ performance, effort and motivation in mathematics. We hypothesize that a minimal amount behavioral realism induced by display of rapport is necessary for any social effects to occur in humancomputer interaction. Further, we examine whether social facilitation effects occur depending on the gender of the participants and the interacting virtual agents. In a 2x2 between subjects design, participants interacted with a male or female virtual agent that either displayed rapport or no rapport. Our results confirm that gender plays a role when interacting with virtual agents that are capable of establishing rapport. Participants’ performance and effort were significantly enhanced when interacting with an agent of opposite gender that displayed rapport. Our results have implications on designing agents for education and training purposes.},
keywords = {The Narrative Group, Virtual Humans},
pubstate = {published},
tppubtype = {inproceedings}
}
The purpose of the present research is to investigate whether virtual agents can help enhance participants’ performance, effort and motivation in mathematics. We hypothesize that a minimal amount behavioral realism induced by display of rapport is necessary for any social effects to occur in humancomputer interaction. Further, we examine whether social facilitation effects occur depending on the gender of the participants and the interacting virtual agents. In a 2x2 between subjects design, participants interacted with a male or female virtual agent that either displayed rapport or no rapport. Our results confirm that gender plays a role when interacting with virtual agents that are capable of establishing rapport. Participants’ performance and effort were significantly enhanced when interacting with an agent of opposite gender that displayed rapport. Our results have implications on designing agents for education and training purposes.
Gordon, Andrew S.; Kozareva, Zornitsa; Roemmele, Melissa
SemEval-2012 Task 7: Choice of Plausible Alternatives: An Evaluation of Commonsense Causal Reasoning Proceedings Article
In: Proceedings of the 6th International Workshop on Semantic Evaluation (SemEval 2012), Montreal, Canada, 2012.
Abstract | Links | BibTeX | Tags: The Narrative Group
@inproceedings{gordon_semeval-2012_2012,
title = {SemEval-2012 Task 7: Choice of Plausible Alternatives: An Evaluation of Commonsense Causal Reasoning},
author = {Andrew S. Gordon and Zornitsa Kozareva and Melissa Roemmele},
url = {http://ict.usc.edu//pubs/SemEval-2012%20Task%207-%20Choice%20of%20Plausible%20Alternatives-%20An%20Evaluation%20of%20Commonsense%20Causal%20Reasoning.pdf},
year = {2012},
date = {2012-06-01},
booktitle = {Proceedings of the 6th International Workshop on Semantic Evaluation (SemEval 2012)},
address = {Montreal, Canada},
abstract = {SemEval-2012 Task 7 presented a deceptively simple challenge: given an English sentece as a premise, selct the sentence amongst two alternatives that more plausibly has a causal relation to the premise. In this paper, we describe the development of this task and its motivation. We describe the two systems that competed in this task as part of SemEval-2012, and compare their results to those achieved in previously published research. We discuss the characteristics that make this task so difficult, and offer our thoughts on how progress can be made in the future.},
keywords = {The Narrative Group},
pubstate = {published},
tppubtype = {inproceedings}
}
SemEval-2012 Task 7 presented a deceptively simple challenge: given an English sentece as a premise, selct the sentence amongst two alternatives that more plausibly has a causal relation to the premise. In this paper, we describe the development of this task and its motivation. We describe the two systems that competed in this task as part of SemEval-2012, and compare their results to those achieved in previously published research. We discuss the characteristics that make this task so difficult, and offer our thoughts on how progress can be made in the future.
Campbell, Amy; Wienberg, Christopher; Gordon, Andrew S.
Collecting Relevance Feedback on Titles and Photographs in Weblog Posts Proceedings Article
In: Proceedings of the 2012 International Conference on Intelligent User Interfaces (IUI-12), Lisbon, Portugal, 2012.
Abstract | Links | BibTeX | Tags: The Narrative Group
@inproceedings{campbell_collecting_2012,
title = {Collecting Relevance Feedback on Titles and Photographs in Weblog Posts},
author = {Amy Campbell and Christopher Wienberg and Andrew S. Gordon},
url = {http://ict.usc.edu//pubs/Collecting%20Relevance%20Feedback%20on%20Titles%20and%20Photographs%20in%20Weblog%20Posts.pdf},
year = {2012},
date = {2012-02-01},
booktitle = {Proceedings of the 2012 International Conference on Intelligent User Interfaces (IUI-12)},
address = {Lisbon, Portugal},
abstract = {We investigate new interfaces that allow users to specify topics of interest in streams of weblog stories by providing relevance feedback to a search algorithm. Noting that weblog stories often contain photographs taken by the blogger during the course of the narrated events, we investigate whether these photographs can serve as a proxy for the whole post when users are making judgments as to the post's relevance. We developed a new story annotation interface for collecting relevance feedback with three variations: users are presented either with the full post as it appears in a weblog, an embedded photograph, or only the title of the post. We describe a user evaluation that compares annotation time, quality, and subjective user experience across each of these three conditions. The results show that relevance judgments based on embedded photographs or titles are far less accurate than when reading the whole weblog post, but the time required to acquire an accurate model of the user's topic interest is greatly reduced.},
keywords = {The Narrative Group},
pubstate = {published},
tppubtype = {inproceedings}
}
We investigate new interfaces that allow users to specify topics of interest in streams of weblog stories by providing relevance feedback to a search algorithm. Noting that weblog stories often contain photographs taken by the blogger during the course of the narrated events, we investigate whether these photographs can serve as a proxy for the whole post when users are making judgments as to the post's relevance. We developed a new story annotation interface for collecting relevance feedback with three variations: users are presented either with the full post as it appears in a weblog, an embedded photograph, or only the title of the post. We describe a user evaluation that compares annotation time, quality, and subjective user experience across each of these three conditions. The results show that relevance judgments based on embedded photographs or titles are far less accurate than when reading the whole weblog post, but the time required to acquire an accurate model of the user's topic interest is greatly reduced.
2011
Mulkar-Mehta, Rutu; Gordon, Andrew S.; Hovy, Eduard; Hobbs, Jerry R.
Causal Markers across Domains and Genres of Discourse Proceedings Article
In: The 6th International Conference on Knowledge Capture, Banff, Alberta, Canada, 2011.
Abstract | Links | BibTeX | Tags: The Narrative Group
@inproceedings{mulkar-mehta_causal_2011,
title = {Causal Markers across Domains and Genres of Discourse},
author = {Rutu Mulkar-Mehta and Andrew S. Gordon and Eduard Hovy and Jerry R. Hobbs},
url = {http://ict.usc.edu/pubs/Causal%20Markers%20across%20Domains%20and%20Genres%20of%20Discourse.pdf},
year = {2011},
date = {2011-06-01},
booktitle = {The 6th International Conference on Knowledge Capture},
address = {Banff, Alberta, Canada},
abstract = {This paper is a study of causation as it occurs in different domains and genres of discourse. There have been various initiatives to extract causality from discourse using causal markers. However, to our knowledge, none of these approaches have displayed similar results when applied to other styles of discourse. In this study we evaluate the nature of causal markers – specifically causatives, between corpora in different domains and genres of discourse and measure the overlap of causal markers using two metrics – Term Similarity and Causal Precision. We find that causal markers, specially causatives (causal verbs) are extremely domain dependent, and moderately genre dependent.},
keywords = {The Narrative Group},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper is a study of causation as it occurs in different domains and genres of discourse. There have been various initiatives to extract causality from discourse using causal markers. However, to our knowledge, none of these approaches have displayed similar results when applied to other styles of discourse. In this study we evaluate the nature of causal markers – specifically causatives, between corpora in different domains and genres of discourse and measure the overlap of causal markers using two metrics – Term Similarity and Causal Precision. We find that causal markers, specially causatives (causal verbs) are extremely domain dependent, and moderately genre dependent.
Roemmele, Melissa; Bejan, Cosmin Adrian; Gordon, Andrew S.
Choice of Plausible Alternatives: An Evaluation of Commonsense Causal Reasoning Proceedings Article
In: AAAI Spring Symposium on Logical Formalizations of Commonsense Reasoning, Stanford University, 2011.
Abstract | Links | BibTeX | Tags: The Narrative Group
@inproceedings{roemmele_choice_2011,
title = {Choice of Plausible Alternatives: An Evaluation of Commonsense Causal Reasoning},
author = {Melissa Roemmele and Cosmin Adrian Bejan and Andrew S. Gordon},
url = {http://ict.usc.edu/pubs/Choice%20of%20Plausible%20Alternatives-%20An%20Evaluation%20of%20Commonsense%20Causal%20Reasoning.pdf},
year = {2011},
date = {2011-03-01},
booktitle = {AAAI Spring Symposium on Logical Formalizations of Commonsense Reasoning},
address = {Stanford University},
abstract = {Research in open-domain commonsense reasoning has been hindered by the lack of evaluation metrics for judging progress and comparing alternative approaches. Taking inspiration from large-scale question sets used in natural language processing research, we authored one thousand English-language questions that directly assess commonsense causal reasoning, called the Choice Of Plausible Alternatives (COPA) evaluation. Using a forced- choice format, each question gives a premise and two plausible causes or effects, where the correct choice is the alternative that is more plausible than the other. This paper describes the authoring methodology that we used to develop a validated question set with sufficient breadth to advance open-domain commonsense reasoning research. We discuss the design decisions made during the authoring process, and explain how these decisions will affect the design of high-scoring systems. We also present the performance of multiple baseline approaches that use statistical natural language processing techniques, establishing initial benchmarks for future systems.},
keywords = {The Narrative Group},
pubstate = {published},
tppubtype = {inproceedings}
}
Research in open-domain commonsense reasoning has been hindered by the lack of evaluation metrics for judging progress and comparing alternative approaches. Taking inspiration from large-scale question sets used in natural language processing research, we authored one thousand English-language questions that directly assess commonsense causal reasoning, called the Choice Of Plausible Alternatives (COPA) evaluation. Using a forced- choice format, each question gives a premise and two plausible causes or effects, where the correct choice is the alternative that is more plausible than the other. This paper describes the authoring methodology that we used to develop a validated question set with sufficient breadth to advance open-domain commonsense reasoning research. We discuss the design decisions made during the authoring process, and explain how these decisions will affect the design of high-scoring systems. We also present the performance of multiple baseline approaches that use statistical natural language processing techniques, establishing initial benchmarks for future systems.
Gordon, Andrew S.; Hobbs, Jerry R.
A Commonsense Theory of Mind-Body Interaction Proceedings Article
In: AAAI Spring Symposium on Logical Formalizations of Commonsense Reasoning, Stanford University, 2011.
Abstract | Links | BibTeX | Tags: The Narrative Group
@inproceedings{gordon_commonsense_2011-1,
title = {A Commonsense Theory of Mind-Body Interaction},
author = {Andrew S. Gordon and Jerry R. Hobbs},
url = {http://ict.usc.edu/pubs/A%20Commonsense%20Theory%20of%20Mind-Body%20Interaction.pdf},
year = {2011},
date = {2011-03-01},
booktitle = {AAAI Spring Symposium on Logical Formalizations of Commonsense Reasoning},
address = {Stanford University},
abstract = {We propose a logical formalization of a commonsense theory of mind-body interaction as a step toward a deep lexical semantics for words and phrases related to this topic.},
keywords = {The Narrative Group},
pubstate = {published},
tppubtype = {inproceedings}
}
We propose a logical formalization of a commonsense theory of mind-body interaction as a step toward a deep lexical semantics for words and phrases related to this topic.
Gordon, Andrew S.; Bejan, Cosmin Adrian; Sagae, Kenji
Commonsense Causal Reasoning Using Millions of Personal Stories Proceedings Article
In: 25th Conference on Artificial Intelligence (AAAI-11), San Francisco, CA, 2011.
Abstract | Links | BibTeX | Tags: The Narrative Group, Virtual Humans
@inproceedings{gordon_commonsense_2011,
title = {Commonsense Causal Reasoning Using Millions of Personal Stories},
author = {Andrew S. Gordon and Cosmin Adrian Bejan and Kenji Sagae},
url = {http://ict.usc.edu/pubs/Commonsense%20Causal%20Reasoning%20Using%20Millions%20of%20Personal%20Stories.pdf},
year = {2011},
date = {2011-01-01},
booktitle = {25th Conference on Artificial Intelligence (AAAI-11)},
address = {San Francisco, CA},
abstract = {The personal stories that people write in their Internet weblogs include a substantial amount of information about the causal relationships between everyday events. In this paper we describe our efforts to use millions of these stories for automated commonsense causal reasoning. Casting the commonsense causal reasoning problem as a Choice of Plausible Alternatives, we describe four experiments that compare various statistical and information retrieval approaches to exploit causal information in story corpora. The top performing system in these experiments uses a simple co-occurrence statistic between words in the causal antecedent and consequent, calculated as the Pointwise Mutual Information between words in a corpus of millions of personal stories.},
keywords = {The Narrative Group, Virtual Humans},
pubstate = {published},
tppubtype = {inproceedings}
}
The personal stories that people write in their Internet weblogs include a substantial amount of information about the causal relationships between everyday events. In this paper we describe our efforts to use millions of these stories for automated commonsense causal reasoning. Casting the commonsense causal reasoning problem as a Choice of Plausible Alternatives, we describe four experiments that compare various statistical and information retrieval approaches to exploit causal information in story corpora. The top performing system in these experiments uses a simple co-occurrence statistic between words in the causal antecedent and consequent, calculated as the Pointwise Mutual Information between words in a corpus of millions of personal stories.
Gordon, Andrew S.; Hobbs, Jerry R.; Cox, Michael T.
Anthropomorphic self-models for metareasoning agents Book Section
In: Metareasoning: Thinking about thinking, pp. 295–305, MIT Press, Cambridge, MA, 2011.
Abstract | Links | BibTeX | Tags: The Narrative Group
@incollection{gordon_anthropomorphic_2011,
title = {Anthropomorphic self-models for metareasoning agents},
author = {Andrew S. Gordon and Jerry R. Hobbs and Michael T. Cox},
url = {http://ict.usc.edu/pubs/Anthropomorphic%20Self-Models%20for%20Metareasoning%20Agents.pdf},
year = {2011},
date = {2011-01-01},
booktitle = {Metareasoning: Thinking about thinking},
pages = {295–305},
publisher = {MIT Press},
address = {Cambridge, MA},
abstract = {Representations of an AI agent's mental states and processes are necessary to enable metareasoning, i.e. thinking about thinking. However, the formulation of suitable representations remains an outstanding AI research challenge, with no clear consensus on how to proceed. This paper outlines an approach involving the formulation of anthropomorphic self-models, where the representations that are used for metareasoning are based on formalizations of commonsense psychology. We describe two research activities that support this approach, the formalization of broad-coverage commonsense psychology theories and use of representations in the monitoring and control of objectlevel reasoning. We focus specifically on metareasoning about memory, but argue that anthropomorphic self-models support the development of integrated, reusable, broadcoverage representations for use in metareasoning systems.},
keywords = {The Narrative Group},
pubstate = {published},
tppubtype = {incollection}
}
Representations of an AI agent's mental states and processes are necessary to enable metareasoning, i.e. thinking about thinking. However, the formulation of suitable representations remains an outstanding AI research challenge, with no clear consensus on how to proceed. This paper outlines an approach involving the formulation of anthropomorphic self-models, where the representations that are used for metareasoning are based on formalizations of commonsense psychology. We describe two research activities that support this approach, the formalization of broad-coverage commonsense psychology theories and use of representations in the monitoring and control of objectlevel reasoning. We focus specifically on metareasoning about memory, but argue that anthropomorphic self-models support the development of integrated, reusable, broadcoverage representations for use in metareasoning systems.
Hobbs, Jerry R.; Gordon, Andrew S.
The Deep Lexical Semantics of Emotions Book Section
In: Ahmad, Khurshid (Ed.): Affective Computing and Sentiment Analysis: Emotion, Metaphor and Terminology, vol. 45, pp. 27–43, Springer, New York, 2011.
Links | BibTeX | Tags: The Narrative Group
@incollection{hobbs_deep_2011,
title = {The Deep Lexical Semantics of Emotions},
author = {Jerry R. Hobbs and Andrew S. Gordon},
editor = {Khurshid Ahmad},
url = {http://ict.usc.edu//pubs/The%20Deep%20Lexical%20Semantics%20of%20Emotions%20Affective%20Computing%20and%20Sentiment%20Analysis-%20Emotion%20Metaphor%20and%20Terminology.pdf},
year = {2011},
date = {2011-01-01},
booktitle = {Affective Computing and Sentiment Analysis: Emotion, Metaphor and Terminology},
volume = {45},
pages = {27–43},
publisher = {Springer},
address = {New York},
series = {Text, Speech and Language Technology},
keywords = {The Narrative Group},
pubstate = {published},
tppubtype = {incollection}
}
Tomai, Emmett; Thapa, Laxman; Gordon, Andrew S.; Kang, Sin-Hwa
Causality in Hundreds of Narratives of the Same Events Proceedings Article
In: The Fourth Workshop on Intelligent Narrative Technologies at the 2011 AI and Interactive Digital Entertainment Conference (AIIDE), Stanford, CA, 2011.
Abstract | Links | BibTeX | Tags: The Narrative Group, Virtual Humans
@inproceedings{tomai_causality_2011,
title = {Causality in Hundreds of Narratives of the Same Events},
author = {Emmett Tomai and Laxman Thapa and Andrew S. Gordon and Sin-Hwa Kang},
url = {http://ict.usc.edu/pubs/Causality%20in%20Hundreds%20of%20Narratives%20of%20the%20Same%20Events.PDF},
year = {2011},
date = {2011-01-01},
booktitle = {The Fourth Workshop on Intelligent Narrative Technologies at the 2011 AI and Interactive Digital Entertainment Conference (AIIDE)},
address = {Stanford, CA},
abstract = {Empirical research supporting computational models of narrative is often constrained by the lack of large-scale corpora with deep annotation. In this paper, we report on our annotation and analysis of a dataset of 283 individual narrations of the events in two short video clips. The utterances in the narrative transcripts were annotated to align with known events in the source videos, offering a unique opportunity to study the regularities and variations in the way that different people describe the exact same set of events. We identified the causal relationships between events in the two video clips, and investigated the role that causality plays in determining whether subjects will mention a particular story event and the likelihood that these events will be told in the order that they occurred in the original videos.},
keywords = {The Narrative Group, Virtual Humans},
pubstate = {published},
tppubtype = {inproceedings}
}
Empirical research supporting computational models of narrative is often constrained by the lack of large-scale corpora with deep annotation. In this paper, we report on our annotation and analysis of a dataset of 283 individual narrations of the events in two short video clips. The utterances in the narrative transcripts were annotated to align with known events in the source videos, offering a unique opportunity to study the regularities and variations in the way that different people describe the exact same set of events. We identified the causal relationships between events in the two video clips, and investigated the role that causality plays in determining whether subjects will mention a particular story event and the likelihood that these events will be told in the order that they occurred in the original videos.
2010
Wansbury, Timothy; Hart, John; Gordon, Andrew S.; Wilkinson, Jeff
UrbanSim: Training Adaptable Leaders in the Art of Battle Command Proceedings Article
In: Interservice/Industry Training, Simulation and Education Conference (I/ITSEC), Orlando, FL, 2010.
Abstract | Links | BibTeX | Tags: The Narrative Group
@inproceedings{wansbury_urbansim_2010,
title = {UrbanSim: Training Adaptable Leaders in the Art of Battle Command},
author = {Timothy Wansbury and John Hart and Andrew S. Gordon and Jeff Wilkinson},
url = {http://ict.usc.edu/pubs/UrbanSim-%20Training%20Adaptable%20Leaders%20in%20the%20Art%20of%20Battle%20Command.pdf},
year = {2010},
date = {2010-12-01},
booktitle = {Interservice/Industry Training, Simulation and Education Conference (I/ITSEC)},
address = {Orlando, FL},
abstract = {UrbanSim is a game-based learning solution that is designed to train leaders in the execution of the "Art of Battle Command" in complex environments where counterinsurgency (COIN) and stability operations predominate. The UrbanSim experience is divided into three components: a two-hour, self-paced, instruction module that provides students with basic knowledge on the doctrinal principles of COIN and Stability Operations, a game-based practice environment, and an instructor-led After-Action-Review. Built initially to train new battalion commanders attending the U.S. Army School for Command Preparation at Ft. Leavenworth, KS, the UrbanSim Learning Environment has been used to effectively train Soldiers in multiple institutional and operational unit settings. The trainees range in rank from Private (E-1) to Lieutenant Colonel (O-5). The success achieved with the UrbanSim project is attributable to three key factors. First, the tools were developed using proven instructional design principles. Second, the technologies were created using a spiral development process in close collaboration with trainers. Third, the components of the UrbanSim Learning Environment have been employed by trainers experienced in using game-based tools to effectively achieve specific training objectives. This paper describes the UrbanSim Learning Environment. It describes how UrbanSim was designed and developed employing key design principles and lessons learned from previous efforts at creating effective, game-based training tools. It also describes multiple examples of how UrbanSim has been used to effectively train Lieutenant Colonels at the battalion commanders' Pre-Command Course, Majors at the Command and General Staff College, Army Captains at the Maneuver Captains' Career Course (CCC) and at the Military Police CCC, and commanders, staff, and Soldiers assigned to operational battalions in the Army. The paper concludes with a discussion of how and why UrbanSim has been so successful in training Soldiers across such a wide spectrum, and how developers of future training systems could benefit from the UrbanSim experience.},
keywords = {The Narrative Group},
pubstate = {published},
tppubtype = {inproceedings}
}
UrbanSim is a game-based learning solution that is designed to train leaders in the execution of the "Art of Battle Command" in complex environments where counterinsurgency (COIN) and stability operations predominate. The UrbanSim experience is divided into three components: a two-hour, self-paced, instruction module that provides students with basic knowledge on the doctrinal principles of COIN and Stability Operations, a game-based practice environment, and an instructor-led After-Action-Review. Built initially to train new battalion commanders attending the U.S. Army School for Command Preparation at Ft. Leavenworth, KS, the UrbanSim Learning Environment has been used to effectively train Soldiers in multiple institutional and operational unit settings. The trainees range in rank from Private (E-1) to Lieutenant Colonel (O-5). The success achieved with the UrbanSim project is attributable to three key factors. First, the tools were developed using proven instructional design principles. Second, the technologies were created using a spiral development process in close collaboration with trainers. Third, the components of the UrbanSim Learning Environment have been employed by trainers experienced in using game-based tools to effectively achieve specific training objectives. This paper describes the UrbanSim Learning Environment. It describes how UrbanSim was designed and developed employing key design principles and lessons learned from previous efforts at creating effective, game-based training tools. It also describes multiple examples of how UrbanSim has been used to effectively train Lieutenant Colonels at the battalion commanders' Pre-Command Course, Majors at the Command and General Staff College, Army Captains at the Maneuver Captains' Career Course (CCC) and at the Military Police CCC, and commanders, staff, and Soldiers assigned to operational battalions in the Army. The paper concludes with a discussion of how and why UrbanSim has been so successful in training Soldiers across such a wide spectrum, and how developers of future training systems could benefit from the UrbanSim experience.
Swanson, Reid; Gordon, Andrew S.
A Data-Driven Case-Based Reasoning Approach to Interactive Storytelling Proceedings Article
In: The Third International Conference on Interactive Digital Storytelling (ICIDS 2010), Edinburgh, UK, 2010.
Abstract | Links | BibTeX | Tags: The Narrative Group
@inproceedings{swanson_data-driven_2010,
title = {A Data-Driven Case-Based Reasoning Approach to Interactive Storytelling},
author = {Reid Swanson and Andrew S. Gordon},
url = {http://ict.usc.edu/pubs/A%20Data-Driven%20Case-Based%20Reasoning%20Approach%20to%20Interactive%20Storytelling.pdf},
year = {2010},
date = {2010-11-01},
booktitle = {The Third International Conference on Interactive Digital Storytelling (ICIDS 2010)},
address = {Edinburgh, UK},
abstract = {In this paper we describe a data-driven interactive story- telling system similar to previous work by Gordon & Swanson. We ad- dresses some of the problems of their system, by combining information retrieval, machine learning and natural language processing. To evaluate our system, we leverage emerging crowd-sourcing communities to collect orders of magnitude more data and show statistical improvement over their system. The end result is a computer agent capable of contributing to stories that are nearly indistinguishable form entirely human written ones to outside observers.},
keywords = {The Narrative Group},
pubstate = {published},
tppubtype = {inproceedings}
}
In this paper we describe a data-driven interactive story- telling system similar to previous work by Gordon & Swanson. We ad- dresses some of the problems of their system, by combining information retrieval, machine learning and natural language processing. To evaluate our system, we leverage emerging crowd-sourcing communities to collect orders of magnitude more data and show statistical improvement over their system. The end result is a computer agent capable of contributing to stories that are nearly indistinguishable form entirely human written ones to outside observers.
Gerber, Matt; Gordon, Andrew S.; Sagae, Kenji
Open-domain Commonsense Reasoning Using Discourse Relations from a Corpus of Weblog Stories. Proceedings Article
In: Proceedings of the 1st International Workshop on Formalisms and Methodology for Learning by Reading (FAM-LbR) NAACL 2010 Workshop, Los Angeles, CA, 2010.
Abstract | Links | BibTeX | Tags: The Narrative Group, Virtual Humans
@inproceedings{gerber_open-domain_2010,
title = {Open-domain Commonsense Reasoning Using Discourse Relations from a Corpus of Weblog Stories.},
author = {Matt Gerber and Andrew S. Gordon and Kenji Sagae},
url = {http://www.ict.usc.edu/pubs/Open-domain%20Commonsense%20Reasoning%20Using%20Discourse%20Relations%20from%20a%20Corpus%20of%20Weblog%20Stories.pdf},
year = {2010},
date = {2010-06-01},
booktitle = {Proceedings of the 1st International Workshop on Formalisms and Methodology for Learning by Reading (FAM-LbR) NAACL 2010 Workshop},
address = {Los Angeles, CA},
abstract = {We present a method of extracting open- domain commonsense knowledge by apply- ing discourse parsing to a large corpus of per- sonal stories written by Internet authors. We demonstrate the use of a linear-time, joint syn- tax/discourse dependency parser for this pur- pose, and we show how the extracted dis- course relations can be used to generate open- domain textual inferences. Our evaluations of the discourse parser and inference models show some success, but also identify a num- ber of interesting directions for future work.},
keywords = {The Narrative Group, Virtual Humans},
pubstate = {published},
tppubtype = {inproceedings}
}
We present a method of extracting open- domain commonsense knowledge by apply- ing discourse parsing to a large corpus of per- sonal stories written by Internet authors. We demonstrate the use of a linear-time, joint syn- tax/discourse dependency parser for this pur- pose, and we show how the extracted dis- course relations can be used to generate open- domain textual inferences. Our evaluations of the discourse parser and inference models show some success, but also identify a num- ber of interesting directions for future work.
Gordon, Andrew S.
Mining Commonsense Knowledge From Personal Stories in Internet Weblogs Proceedings Article
In: Proceedings of the First Workshop on Automated Knowledge Base Construction, Grenoble, France, 2010.
Abstract | Links | BibTeX | Tags: The Narrative Group
@inproceedings{gordon_mining_2010,
title = {Mining Commonsense Knowledge From Personal Stories in Internet Weblogs},
author = {Andrew S. Gordon},
url = {http://ict.usc.edu/pubs/Mining%20Commonsense%20Knowledge%20From%20Personal%20Stories%20in%20Internet%20Weblogs.pdf},
year = {2010},
date = {2010-05-01},
booktitle = {Proceedings of the First Workshop on Automated Knowledge Base Construction},
address = {Grenoble, France},
abstract = {Recent advances in automated knowledge base construction have created new opportunities to address one of the hardest challenges in Artificial Intelligence: automated commonsense reasoning. In this paper, we describe our recent efforts in mining commonsense knowledge from the personal stories that people write about their lives in their Internet weblogs. We summarize three preliminary investigations that involve the application of statistical natural language processing techniques to corpora of millions of weblog stories, and outline our current approach to solving a number of outstanding technical challenges.},
keywords = {The Narrative Group},
pubstate = {published},
tppubtype = {inproceedings}
}
Recent advances in automated knowledge base construction have created new opportunities to address one of the hardest challenges in Artificial Intelligence: automated commonsense reasoning. In this paper, we describe our recent efforts in mining commonsense knowledge from the personal stories that people write about their lives in their Internet weblogs. We summarize three preliminary investigations that involve the application of statistical natural language processing techniques to corpora of millions of weblog stories, and outline our current approach to solving a number of outstanding technical challenges.
Hobbs, Jerry R.; Gordon, Andrew S.
Goals in a Formal Theory of Commonsense Psychology Proceedings Article
In: Proceedings of the 6th International Conference on Formal Ontology in Information Systems (FOIS-2010), Toronto, Canada, 2010.
Abstract | Links | BibTeX | Tags: The Narrative Group
@inproceedings{hobbs_goals_2010,
title = {Goals in a Formal Theory of Commonsense Psychology},
author = {Jerry R. Hobbs and Andrew S. Gordon},
url = {http://www.ict.usc.edu/pubs/Goals%20in%20a%20Formal%20Theory%20of%20Commonsense%20Psychology.pdf},
year = {2010},
date = {2010-05-01},
booktitle = {Proceedings of the 6th International Conference on Formal Ontology in Information Systems (FOIS-2010)},
address = {Toronto, Canada},
abstract = {In the context of developing formal theories of commonsense psychology, or how peole think they think, we have developed a formal theory of goals. In it we explicate and axiomatize, among others, the goal-related notions of trying, success, failure, functionality, intactness, and importance.},
keywords = {The Narrative Group},
pubstate = {published},
tppubtype = {inproceedings}
}
In the context of developing formal theories of commonsense psychology, or how peole think they think, we have developed a formal theory of goals. In it we explicate and axiomatize, among others, the goal-related notions of trying, success, failure, functionality, intactness, and importance.
2009
Swanson, Reid; Gordon, Andrew S.
Say Anything: A Demonstration of Open Domain Interactive Digital Storytelling Proceedings Article
In: International Conference on Interactive Digital Storytelling (ICIDS-09), Guimarães, Portugal, 2009.
Abstract | Links | BibTeX | Tags: The Narrative Group
@inproceedings{swanson_say_2009,
title = {Say Anything: A Demonstration of Open Domain Interactive Digital Storytelling},
author = {Reid Swanson and Andrew S. Gordon},
url = {http://ict.usc.edu/pubs/Say%20Anything-%20A%20Demonstration%20of%20Open%20Domain%20Interactive%20Digital%20Storytelling.pdf},
year = {2009},
date = {2009-12-01},
booktitle = {International Conference on Interactive Digital Storytelling (ICIDS-09)},
address = {Guimarães, Portugal},
abstract = {Say Anything is a text-based interactive digital storytelling application that differs from other systems in its emphasis on the ability of users to create a narrative in any domain that they wish. The user and computer take turns in writing sentences in an emerging fictional narrative where sentences contributed by the computer are selected from a collection of millions of personal stories extracted from Internet weblogs. In this demonstration, we will present the latest version of the Say Anything application and allow conference participants to author their own original stories using the system.},
keywords = {The Narrative Group},
pubstate = {published},
tppubtype = {inproceedings}
}
Say Anything is a text-based interactive digital storytelling application that differs from other systems in its emphasis on the ability of users to create a narrative in any domain that they wish. The user and computer take turns in writing sentences in an emerging fictional narrative where sentences contributed by the computer are selected from a collection of millions of personal stories extracted from Internet weblogs. In this demonstration, we will present the latest version of the Say Anything application and allow conference participants to author their own original stories using the system.
Sagae, Kenji; Gordon, Andrew S.
Clustering Words by Syntactic Similarity Improves Dependency Parsing of Predicate-Argument Structures Proceedings Article
In: International Conference on Parsing Technologies (IWPT-09), Paris, France, 2009.
Abstract | Links | BibTeX | Tags: The Narrative Group, Virtual Humans
@inproceedings{sagae_clustering_2009,
title = {Clustering Words by Syntactic Similarity Improves Dependency Parsing of Predicate-Argument Structures},
author = {Kenji Sagae and Andrew S. Gordon},
url = {http://ict.usc.edu/pubs/Clustering%20Words%20by%20Syntactic%20Similarity%20Improves%20Dependency%20Parsing%20of%20Predicate-Argument%20Structures.pdf},
year = {2009},
date = {2009-10-01},
booktitle = {International Conference on Parsing Technologies (IWPT-09)},
address = {Paris, France},
abstract = {We present an approach for deriving syntactic word clusters from parsed text, grouping words according to their unlexicalized syntactic contexts. We then explore the use of these syntactic clusters in leveraging a large corpus of trees generated by a high-accuracy parser to improve the accuracy of another parser based on a different formalism for representing a different level of sentence structure. In our experiments, we use phrase-structure trees to produce syntactic word clusters that are used by a predicate-argument dependency parser, significantly improving its accuracy.},
keywords = {The Narrative Group, Virtual Humans},
pubstate = {published},
tppubtype = {inproceedings}
}
We present an approach for deriving syntactic word clusters from parsed text, grouping words according to their unlexicalized syntactic contexts. We then explore the use of these syntactic clusters in leveraging a large corpus of trees generated by a high-accuracy parser to improve the accuracy of another parser based on a different formalism for representing a different level of sentence structure. In our experiments, we use phrase-structure trees to produce syntactic word clusters that are used by a predicate-argument dependency parser, significantly improving its accuracy.
McAlinden, Ryan; Gordon, Andrew S.; Lane, H. Chad; Pynadath, David V.
UrbanSim: A Game-based Simulation for Counterinsurgency and Stability-focused Operations Proceedings Article
In: Workshop on Intelligent Educational Games, 14th International Conference on Artificial Intelligence in Education, Brighton, UK, 2009.
Abstract | Links | BibTeX | Tags: Learning Sciences, Social Simulation, The Narrative Group
@inproceedings{mcalinden_urbansim_2009,
title = {UrbanSim: A Game-based Simulation for Counterinsurgency and Stability-focused Operations},
author = {Ryan McAlinden and Andrew S. Gordon and H. Chad Lane and David V. Pynadath},
url = {http://ict.usc.edu/pubs/UrbanSim-%20A%20Game-based%20Simulation%20for%20Counterinsurgency%20and%20Stability-focused%20Operations.pdf},
year = {2009},
date = {2009-07-01},
booktitle = {Workshop on Intelligent Educational Games, 14th International Conference on Artificial Intelligence in Education},
address = {Brighton, UK},
abstract = {The UrbanSim Learning Package is a simulation-based training application designed for the U.S. Army to develop commanders' skills for conducting counterinsurgency operations. UrbanSim incorporates multiple artificial intelligence (AI) technologies in order to provide an effective training experience, three of which are described in this paper. First, UrbanSim simulates the mental attitudes and actions of groups and individuals in an urban environment using the PsychSim reasoning engine. Second, UrbanSim interjects narrative elements into the training experience using a case-based story engine, driven by non-fiction stories told by experienced commanders. Third, UrbanSim provides intelligent tutoring using a simulation-based method for eliciting and evaluating learner decisions. UrbanSim represents a confluence of AI techniques that seek to bridge the gap between basic research and deployed AI systems.},
keywords = {Learning Sciences, Social Simulation, The Narrative Group},
pubstate = {published},
tppubtype = {inproceedings}
}
The UrbanSim Learning Package is a simulation-based training application designed for the U.S. Army to develop commanders' skills for conducting counterinsurgency operations. UrbanSim incorporates multiple artificial intelligence (AI) technologies in order to provide an effective training experience, three of which are described in this paper. First, UrbanSim simulates the mental attitudes and actions of groups and individuals in an urban environment using the PsychSim reasoning engine. Second, UrbanSim interjects narrative elements into the training experience using a case-based story engine, driven by non-fiction stories told by experienced commanders. Third, UrbanSim provides intelligent tutoring using a simulation-based method for eliciting and evaluating learner decisions. UrbanSim represents a confluence of AI techniques that seek to bridge the gap between basic research and deployed AI systems.
Gordon, Andrew S.; Swanson, Reid
Identifying Personal Stories in Millions of Weblog Entries Proceedings Article
In: Third International Conference on Weblogs and Social Media, Data Challenge Workshop, San Jose, CA, 2009.
Abstract | Links | BibTeX | Tags: The Narrative Group
@inproceedings{gordon_identifying_2009,
title = {Identifying Personal Stories in Millions of Weblog Entries},
author = {Andrew S. Gordon and Reid Swanson},
url = {http://ict.usc.edu/pubs/Identifying%20Personal%20Stories%20in%20Millions%20of%20Weblog%20Entries.pdf},
year = {2009},
date = {2009-05-01},
booktitle = {Third International Conference on Weblogs and Social Media, Data Challenge Workshop},
address = {San Jose, CA},
abstract = {Stories of people's everyday experiences have long been the focus of psychology and sociology research, and are increasingly being used in innovative knowledge-based technologies. However, continued research in this area is hindered by the lack of standard corpora of sufficient size and by the costs of creating one from scratch. In this paper, we describe our efforts to develop a standard corpus for researchers in this area by identifying personal stories in the tens of millions of blog posts in the ICWSM 2009 Spinn3r Dataset. Our approach was to employ statistical text classification technology on the content of blog entries, which required the creation of a sufficiently large set of annotated training examples. We describe the development and evaluation of this classification technology and how it was applied to the dataset in order to identify nearly a million personal stories.},
keywords = {The Narrative Group},
pubstate = {published},
tppubtype = {inproceedings}
}
Stories of people's everyday experiences have long been the focus of psychology and sociology research, and are increasingly being used in innovative knowledge-based technologies. However, continued research in this area is hindered by the lack of standard corpora of sufficient size and by the costs of creating one from scratch. In this paper, we describe our efforts to develop a standard corpus for researchers in this area by identifying personal stories in the tens of millions of blog posts in the ICWSM 2009 Spinn3r Dataset. Our approach was to employ statistical text classification technology on the content of blog entries, which required the creation of a sufficiently large set of annotated training examples. We describe the development and evaluation of this classification technology and how it was applied to the dataset in order to identify nearly a million personal stories.
Swanson, Reid; Gordon, Andrew S.
A Comparison of Retrieval Models for Open Domain Story Generation Proceedings Article
In: AAAI 2009 Spring Symposium on Intelligent Narrative Technologies II, Stanford University, 2009.
Abstract | Links | BibTeX | Tags: The Narrative Group
@inproceedings{swanson_comparison_2009,
title = {A Comparison of Retrieval Models for Open Domain Story Generation},
author = {Reid Swanson and Andrew S. Gordon},
url = {http://ict.usc.edu/pubs/A%20Comparison%20of%20Retrieval%20Models%20for%20Open%20Domain%20Story%20Generation.pdf},
year = {2009},
date = {2009-03-01},
booktitle = {AAAI 2009 Spring Symposium on Intelligent Narrative Technologies II},
address = {Stanford University},
abstract = {In this paper we describe the architecture of an interactive story generation system where a human and computer each take turns writing sentences of an emerging narrative. Each turn begins with the user adding a sentence to the story, where the computer responds with a sentence of its own that continues what has been written so far. Rather than generating the next sentence from scratch, the computer selects the next sentence from a corpus of tens of millions of narrative sentences extracted from Internet weblogs. We compare five different retrieval methods for selecting the most appropriate sentence, and present the results of a user study to determine which of these models produces stories with the highest coherence and overall value.},
keywords = {The Narrative Group},
pubstate = {published},
tppubtype = {inproceedings}
}
In this paper we describe the architecture of an interactive story generation system where a human and computer each take turns writing sentences of an emerging narrative. Each turn begins with the user adding a sentence to the story, where the computer responds with a sentence of its own that continues what has been written so far. Rather than generating the next sentence from scratch, the computer selects the next sentence from a corpus of tens of millions of narrative sentences extracted from Internet weblogs. We compare five different retrieval methods for selecting the most appropriate sentence, and present the results of a user study to determine which of these models produces stories with the highest coherence and overall value.
Gordon, Andrew S.; Swanson, Reid
Open Domain Collaborative Storytelling With Say Anything Proceedings Article
In: Third International Conference on Weblogs and Social Media, San Jose, CA, 2009.
Abstract | Links | BibTeX | Tags: The Narrative Group
@inproceedings{gordon_open_2009,
title = {Open Domain Collaborative Storytelling With Say Anything},
author = {Andrew S. Gordon and Reid Swanson},
url = {http://www.ict.usc.edu/pubs/Open%20Domain%20Collaborative%20Storytelling.PDF},
year = {2009},
date = {2009-01-01},
booktitle = {Third International Conference on Weblogs and Social Media},
address = {San Jose, CA},
abstract = {Swanson},
keywords = {The Narrative Group},
pubstate = {published},
tppubtype = {inproceedings}
}
Swanson
Gordon, Andrew S.
Story-Based Learning Environments Book Section
In: The PSI Handbook of Virtual Environments for Training and Education: Developments for the Military and Beyond, Volume 2: Components and Training Technologies, vol. 2, Praeger Security International, Westport, CT, 2009.
Links | BibTeX | Tags: The Narrative Group
@incollection{gordon_story-based_2009,
title = {Story-Based Learning Environments},
author = {Andrew S. Gordon},
url = {http://www.ict.usc.edu/pubs/Story%20based%20Learning%20Environments.pdf},
year = {2009},
date = {2009-01-01},
booktitle = {The PSI Handbook of Virtual Environments for Training and Education: Developments for the Military and Beyond, Volume 2: Components and Training Technologies},
volume = {2},
publisher = {Praeger Security International},
address = {Westport, CT},
keywords = {The Narrative Group},
pubstate = {published},
tppubtype = {incollection}
}
2008
McAlinden, Ryan; Gordon, Andrew S.; Lane, H. Chad; Hart, John; Durlach, Paula
UrbanSim: A game-based instructional package for conducting counterinsurgency operations Proceedings Article
In: Proceedings of the 26th Army Science Conference, Orlando, FL, 2008.
Abstract | Links | BibTeX | Tags: Learning Sciences, The Narrative Group
@inproceedings{mcalinden_urbansim_2008,
title = {UrbanSim: A game-based instructional package for conducting counterinsurgency operations},
author = {Ryan McAlinden and Andrew S. Gordon and H. Chad Lane and John Hart and Paula Durlach},
url = {http://ict.usc.edu/pubs/UrbanSim-%20A%20game-based%20instructional%20package%20for%20conducting%20counterinsurgency%20operations.pdf},
year = {2008},
date = {2008-12-01},
booktitle = {Proceedings of the 26th Army Science Conference},
address = {Orlando, FL},
abstract = {Operation Iraqi Freedom and Operation Enduring Freedom have identified the need for instructional and training solutions that develop the skills of Battalion and Brigade Commanders in formulating situational understanding in order to successfully lead operations in a counterinsurgency environment. In this paper we describe the UrbanSim Learning Package, a game-based instructional software suite for Commanders and their staffs for directing and coordinating full-spectrum operations where the stability component is predominant. We describe a formal instructional design approach to the development of this instructional software, which consists of a component that introduces key concepts in counterinsurgency operations and a component that allows students to develop their skills in a simulated counterinsurgency environment. We describe how intelligent automated tutoring is used to provide formative feedback to students in the practice environment, and discuss our approach to student performance assessment.},
keywords = {Learning Sciences, The Narrative Group},
pubstate = {published},
tppubtype = {inproceedings}
}
Operation Iraqi Freedom and Operation Enduring Freedom have identified the need for instructional and training solutions that develop the skills of Battalion and Brigade Commanders in formulating situational understanding in order to successfully lead operations in a counterinsurgency environment. In this paper we describe the UrbanSim Learning Package, a game-based instructional software suite for Commanders and their staffs for directing and coordinating full-spectrum operations where the stability component is predominant. We describe a formal instructional design approach to the development of this instructional software, which consists of a component that introduces key concepts in counterinsurgency operations and a component that allows students to develop their skills in a simulated counterinsurgency environment. We describe how intelligent automated tutoring is used to provide formative feedback to students in the practice environment, and discuss our approach to student performance assessment.
Swanson, Reid; Gordon, Andrew S.
Say Anything: A Massively collaborative Open Domain Story Writing Companion Proceedings Article
In: First International Conference on Interactive Digital Storytelling, Erfurt, Germany, 2008.
Abstract | Links | BibTeX | Tags: The Narrative Group
@inproceedings{swanson_say_2008,
title = {Say Anything: A Massively collaborative Open Domain Story Writing Companion},
author = {Reid Swanson and Andrew S. Gordon},
url = {http://ict.usc.edu/pubs/Say%20Anything-%20A%20Massively%20collaborative%20Open%20Domain%20Story%20Writing%20Companion.pdf},
year = {2008},
date = {2008-11-01},
booktitle = {First International Conference on Interactive Digital Storytelling},
address = {Erfurt, Germany},
abstract = {Interactive storytelling is an interesting cross-disciplinary area that has importance in research as well as entertainment. In this paper we explore a new area of interactive storytelling that blurs the line between traditional interactive fiction and collaborative writing. We present a system where the user and computer take turns in writing sentences of a fictional narrative. Sentences contributed by the computer are selected from a collection of millions of stories extracted from Internet weblogs. By leveraging the large amounts of personal narrative content available on the web, we show that even with a simple approach our system can produce compelling stories with our users.},
keywords = {The Narrative Group},
pubstate = {published},
tppubtype = {inproceedings}
}
Interactive storytelling is an interesting cross-disciplinary area that has importance in research as well as entertainment. In this paper we explore a new area of interactive storytelling that blurs the line between traditional interactive fiction and collaborative writing. We present a system where the user and computer take turns in writing sentences of a fictional narrative. Sentences contributed by the computer are selected from a collection of millions of stories extracted from Internet weblogs. By leveraging the large amounts of personal narrative content available on the web, we show that even with a simple approach our system can produce compelling stories with our users.
Gordon, Andrew S.; Swanson, Reid
Envisioning With Weblogs Proceedings Article
In: International Conference on New Media Technology, Special Track on Knowledge Acquisition From the Social Web, Graz, Austria, 2008.
Abstract | Links | BibTeX | Tags: The Narrative Group
@inproceedings{gordon_envisioning_2008,
title = {Envisioning With Weblogs},
author = {Andrew S. Gordon and Reid Swanson},
url = {http://ict.usc.edu/pubs/Envisioning%20With%20Weblogs.pdf},
year = {2008},
date = {2008-09-01},
booktitle = {International Conference on New Media Technology, Special Track on Knowledge Acquisition From the Social Web},
address = {Graz, Austria},
abstract = {In this position paper we present a vision of how the stories that people tell in Internet weblogs can be used directly for automated commonsense reasoning, specifically to support the core envisionment functions of event prediction, explanation, and imagination.},
keywords = {The Narrative Group},
pubstate = {published},
tppubtype = {inproceedings}
}
In this position paper we present a vision of how the stories that people tell in Internet weblogs can be used directly for automated commonsense reasoning, specifically to support the core envisionment functions of event prediction, explanation, and imagination.