Publications
Search
41.
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.
@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 = {},
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.
42.
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.
@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 = {},
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.
43.
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.
@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 = {},
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.
44.
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.
@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 = {},
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.
45.
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.
@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 = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Swanson
46.
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.
@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 = {},
pubstate = {published},
tppubtype = {incollection}
}
47.
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.
@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 = {},
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.
48.
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.
@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 = {},
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.
49.
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.
@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 = {},
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.
50.
Gordon, Andrew S.
Story Management Technologies for Organizational Learning Proceedings Article
In: International Conference on Knowledge Management, Special Track on Intelligent Assistance for Self-Directed and Organizational Learning, Graz, Austria, 2008.
@inproceedings{gordon_story_2008,
title = {Story Management Technologies for Organizational Learning},
author = {Andrew S. Gordon},
url = {http://ict.usc.edu/pubs/Story%20Management%20Technologies%20for%20Organizational%20Learning.pdf},
year = {2008},
date = {2008-09-01},
booktitle = {International Conference on Knowledge Management, Special Track on Intelligent Assistance for Self-Directed and Organizational Learning},
address = {Graz, Austria},
abstract = {The stories told among members of an organization are an effective instrument for knowledge socialization, the sharing of experiences through social mechanisms. However, the utility of stories for organizational learning is limited due to the difficulties in acquiring stories that are relevant to the practices of an organization, identifying the learning goals that these stories serve, and delivering these stories to the right people and the right time in a manner that best facilitates learning. In this paper we outline a vision for story-based organizational learning in the future, and describe three areas where intelligent technologies can be applied to automate story management practices in support of organizational learning. First, we describe automated story capture technologies that identify narratives of people's experiences within the context of a larger discourse. Second, we describe automated retrieval technologies that identify stories that are relevant to specific educational needs. Third, we describe how stories can be transformed into effective story-based learning environments with minimal development costs.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
The stories told among members of an organization are an effective instrument for knowledge socialization, the sharing of experiences through social mechanisms. However, the utility of stories for organizational learning is limited due to the difficulties in acquiring stories that are relevant to the practices of an organization, identifying the learning goals that these stories serve, and delivering these stories to the right people and the right time in a manner that best facilitates learning. In this paper we outline a vision for story-based organizational learning in the future, and describe three areas where intelligent technologies can be applied to automate story management practices in support of organizational learning. First, we describe automated story capture technologies that identify narratives of people's experiences within the context of a larger discourse. Second, we describe automated retrieval technologies that identify stories that are relevant to specific educational needs. Third, we describe how stories can be transformed into effective story-based learning environments with minimal development costs.
51.
Manshadi, Mehdi; Swanson, Reid; Gordon, Andrew S.
Learning a Probabilistic Model of Event Sequences From Internet Weblog Stories Proceedings Article
In: 21st Conference of the Florida AI Society, Applied Natural Language Processing Track, Coconut Grove, FL, 2008.
@inproceedings{manshadi_learning_2008,
title = {Learning a Probabilistic Model of Event Sequences From Internet Weblog Stories},
author = {Mehdi Manshadi and Reid Swanson and Andrew S. Gordon},
url = {http://ict.usc.edu/pubs/Learning%20a%20Probabilistic%20Model%20of%20Event%20Sequences%20From%20Internet%20Weblog%20Stories.pdf},
year = {2008},
date = {2008-05-01},
booktitle = {21st Conference of the Florida AI Society, Applied Natural Language Processing Track},
address = {Coconut Grove, FL},
abstract = {One of the central problems in building broad-coverage story understanding systems is generating expectations about event sequences, i.e. predicting what happens next given some arbitrary narrative context. In this paper, we describe how a large corpus of stories extracted from Internet weblogs was used to learn a probabilistic model of event sequences using statistical language modeling techniques. Our approach was to encode weblog stories as sequences of events, one per sentence in the story, where each event was represented as a pair of descriptive key words extracted from the sentence. We then applied statistical language modeling techniques to each of the event sequences in the corpus. We evaluated the utility of the resulting model for the tasks of narrative event ordering and event prediction.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
One of the central problems in building broad-coverage story understanding systems is generating expectations about event sequences, i.e. predicting what happens next given some arbitrary narrative context. In this paper, we describe how a large corpus of stories extracted from Internet weblogs was used to learn a probabilistic model of event sequences using statistical language modeling techniques. Our approach was to encode weblog stories as sequences of events, one per sentence in the story, where each event was represented as a pair of descriptive key words extracted from the sentence. We then applied statistical language modeling techniques to each of the event sequences in the corpus. We evaluated the utility of the resulting model for the tasks of narrative event ordering and event prediction.
52.
Hobbs, Jerry R.; Gordon, Andrew S.
The Deep Lexical Semantics of Emotions Proceedings Article
In: International Conference on Language Resources and Evaluation (LREC) Workshop on Sentiment Analysis: Emotion, Metaphor, Ontology and Terminology (EMOT), Marrakech, Morocco, 2008.
@inproceedings{hobbs_deep_2008,
title = {The Deep Lexical Semantics of Emotions},
author = {Jerry R. Hobbs and Andrew S. Gordon},
url = {http://ict.usc.edu/pubs/The%20Deep%20Lexical%20Semantics%20of%20Emotions.pdf},
year = {2008},
date = {2008-05-01},
booktitle = {International Conference on Language Resources and Evaluation (LREC) Workshop on Sentiment Analysis: Emotion, Metaphor, Ontology and Terminology (EMOT)},
address = {Marrakech, Morocco},
abstract = {We understand discourse so well because we know so much. If we are to have natural language understanding systems that are able to deal with texts with emotional content, we must encode knowledge of human emotions for use in the systems. In particular, we must equip the system with a formal version of people's implicit theory of how emotions mediate between what they experience and what they do, and rules that link the theory with words and phrases in the emotional lexicon. The effort we describe here is part of a larger project in knowledge-based natural language understanding to construct a collection of abstract and concrete core formal theories of fundamental phenomena, geared to language, and to define or at least characterize the most common words in English in terms of these theories (Hobbs, 2008). One collection of theories we have put a considerable amount of work into is a commonsense theory of human cognition, or how people think they think (Hobbs and Gordon, 2005). A formal theory of emotions is an important piece of this. In this paper we describe this theory and our efforts to define a number of the most common words about emotions in terms of this and other theories. Vocabulary related to emotions has been studied extensively within the field of linguistics, with particular attention to cross-cultural differences (Athanasiadou and Tabakowska, 1998; Harkins and Wierzbicka, 2001; Wierzbicka, 1999). Within computational linguistics, there has been recent interest in creating large-scale text corpora where expressions of emotion and other private states are annotated (Wiebe et al., 2005). In Section 2 we describe Core WordNet and our categorization of it to determine the most frequent words about cognition and emotion. In Section 3 we describe an effort to flesh out the emotional lexicon by searching a large corpus for emotional terms, so we can have some assurance of high coverage in both the core theory and the lexical items linked to it. In Section 4 we sketch the principal facets of some of the core theories. In Section 5 we describe the theory of Emotion with several examples of words characterized in terms of the theories.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
We understand discourse so well because we know so much. If we are to have natural language understanding systems that are able to deal with texts with emotional content, we must encode knowledge of human emotions for use in the systems. In particular, we must equip the system with a formal version of people's implicit theory of how emotions mediate between what they experience and what they do, and rules that link the theory with words and phrases in the emotional lexicon. The effort we describe here is part of a larger project in knowledge-based natural language understanding to construct a collection of abstract and concrete core formal theories of fundamental phenomena, geared to language, and to define or at least characterize the most common words in English in terms of these theories (Hobbs, 2008). One collection of theories we have put a considerable amount of work into is a commonsense theory of human cognition, or how people think they think (Hobbs and Gordon, 2005). A formal theory of emotions is an important piece of this. In this paper we describe this theory and our efforts to define a number of the most common words about emotions in terms of this and other theories. Vocabulary related to emotions has been studied extensively within the field of linguistics, with particular attention to cross-cultural differences (Athanasiadou and Tabakowska, 1998; Harkins and Wierzbicka, 2001; Wierzbicka, 1999). Within computational linguistics, there has been recent interest in creating large-scale text corpora where expressions of emotion and other private states are annotated (Wiebe et al., 2005). In Section 2 we describe Core WordNet and our categorization of it to determine the most frequent words about cognition and emotion. In Section 3 we describe an effort to flesh out the emotional lexicon by searching a large corpus for emotional terms, so we can have some assurance of high coverage in both the core theory and the lexical items linked to it. In Section 4 we sketch the principal facets of some of the core theories. In Section 5 we describe the theory of Emotion with several examples of words characterized in terms of the theories.
53.
Swanson, Reid; Chew, Elaine; Gordon, Andrew S.
Supporting Musical Creativity With Unsupervised Syntactic Parsing Proceedings Article
In: AAAI Spring Symposium Series, Stanford University, 2008.
@inproceedings{swanson_supporting_2008,
title = {Supporting Musical Creativity With Unsupervised Syntactic Parsing},
author = {Reid Swanson and Elaine Chew and Andrew S. Gordon},
url = {http://ict.usc.edu/pubs/Supporting%20Musical%20Creativity%20With%20Unsupervised%20Syntactic%20Parsing.pdf},
year = {2008},
date = {2008-03-01},
booktitle = {AAAI Spring Symposium Series},
address = {Stanford University},
abstract = {Music and language are two human activities that fit well with a traditional notion of creativity and are particularly suited to computational exploration. In this paper we will argue for the necessity of syntactic processing in musical applications. Unsupervised methods offer uniquely interesting approaches to supporting creativity. We will demonstrate using the Constituent Context Model that syntactic structure of musical melodies can be learned automatically without annotated training data. Using a corpus built from the Well Tempered Clavier by Bach we describe a simple classification experiment that shows the relative quality of the induced parse trees for musical melodies.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Music and language are two human activities that fit well with a traditional notion of creativity and are particularly suited to computational exploration. In this paper we will argue for the necessity of syntactic processing in musical applications. Unsupervised methods offer uniquely interesting approaches to supporting creativity. We will demonstrate using the Constituent Context Model that syntactic structure of musical melodies can be learned automatically without annotated training data. Using a corpus built from the Well Tempered Clavier by Bach we describe a simple classification experiment that shows the relative quality of the induced parse trees for musical melodies.
54.
Gordon, Andrew S.; Swanson, Reid
StoryUpgrade: Finding Stories in Internet Weblogs Proceedings Article
In: International Conference on Weblogs and Social Media, 2008.
@inproceedings{gordon_storyupgrade_2008,
title = {StoryUpgrade: Finding Stories in Internet Weblogs},
author = {Andrew S. Gordon and Reid Swanson},
url = {http://ict.usc.edu/pubs/StoryUpgrade-%20Finding%20Stories%20in%20Internet%20Weblogs.pdf},
year = {2008},
date = {2008-03-01},
booktitle = {International Conference on Weblogs and Social Media},
abstract = {The phenomenal rise of Internet weblogging has created new opportunities for people to tell personal stories of their life experience, and the potential to share these stories with those who can most benefit from reading them. One barrier to this new mode of storytelling is the lack of accessibility; existing Internet search tools are not tailored to the unique characteristics of this textual genre. In this paper we describe our efforts to develop a search engine specifically for the stories that appear in Internet weblogs, called StoryUpgrade. This application utilizes statistical text classification technologies to separate story content from other text in weblog entries, and facilitates searches for stories that are related to particular activities of interest.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
The phenomenal rise of Internet weblogging has created new opportunities for people to tell personal stories of their life experience, and the potential to share these stories with those who can most benefit from reading them. One barrier to this new mode of storytelling is the lack of accessibility; existing Internet search tools are not tailored to the unique characteristics of this textual genre. In this paper we describe our efforts to develop a search engine specifically for the stories that appear in Internet weblogs, called StoryUpgrade. This application utilizes statistical text classification technologies to separate story content from other text in weblog entries, and facilitates searches for stories that are related to particular activities of interest.
55.
Gordon, Andrew S.; Havasi, Catherine; Lux, Mathias; Strohmaier, Markus
Common Sense Knowledge and Goal-Oriented Interfaces Proceedings Article
In: 2008 International Conference on Intelligent User Interfaces, Canary Islands, Spain, 2008.
@inproceedings{gordon_common_2008,
title = {Common Sense Knowledge and Goal-Oriented Interfaces},
author = {Andrew S. Gordon and Catherine Havasi and Mathias Lux and Markus Strohmaier},
url = {http://ict.usc.edu/pubs/Common%20Sense%20Knowledge%20and%20Goal-Oriented%20Interfaces.pdf},
year = {2008},
date = {2008-01-01},
booktitle = {2008 International Conference on Intelligent User Interfaces},
address = {Canary Islands, Spain},
abstract = {We present an overview of the workshop on Common Sense Knowledge and Goal-Oriented Interfaces held at the 2008 Intelligent User Interfaces conference. Six papers were accepted from diverse research groups, each offering innovative new research on interfaces that incorporate common sense knowledge and that are oriented around the goals of their users.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
We present an overview of the workshop on Common Sense Knowledge and Goal-Oriented Interfaces held at the 2008 Intelligent User Interfaces conference. Six papers were accepted from diverse research groups, each offering innovative new research on interfaces that incorporate common sense knowledge and that are oriented around the goals of their users.
56.
Gordon, Andrew S.; Cao, Yong; Swanson, Reid
Automated Story Capture From Internet Weblogs Proceedings Article
In: Proceedings of the 4th International Conference on Knowledge Capture, Whistler, BC, 2007.
@inproceedings{gordon_automated_2007,
title = {Automated Story Capture From Internet Weblogs},
author = {Andrew S. Gordon and Yong Cao and Reid Swanson},
url = {http://ict.usc.edu/pubs/Automated%20Story%20Capture%20From%20Internet%20Weblogs.pdf},
year = {2007},
date = {2007-10-01},
booktitle = {Proceedings of the 4th International Conference on Knowledge Capture},
address = {Whistler, BC},
abstract = {mong the most interesting ways that people share knowledge is through the telling of stories, i.e. first-person narratives about real life experiences. Millions of these stories appear in Internet weblogs, offering a potentially valuable resource for future knowledge management and training applications. In this paper we describe efforts to automatically capture stories from Internet weblogs by extracting them using statistical text classification techniques. We evaluate the precision and recall performance of competing approaches. We describe the large-scale application of story extraction technology to Internet weblogs, producing a corpus of stories with over a billion words.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
mong the most interesting ways that people share knowledge is through the telling of stories, i.e. first-person narratives about real life experiences. Millions of these stories appear in Internet weblogs, offering a potentially valuable resource for future knowledge management and training applications. In this paper we describe efforts to automatically capture stories from Internet weblogs by extracting them using statistical text classification techniques. We evaluate the precision and recall performance of competing approaches. We describe the large-scale application of story extraction technology to Internet weblogs, producing a corpus of stories with over a billion words.
57.
Gordon, Andrew S.; Swanson, Reid
Generalizing Semantic Role Annotations Across Syntactically Similar Verbs Proceedings Article
In: Proceedings of the 2007 Meeting of the Association for Computational Linguistics (ACL-07), Prague, Czech Republic, 2007.
@inproceedings{gordon_generalizing_2007,
title = {Generalizing Semantic Role Annotations Across Syntactically Similar Verbs},
author = {Andrew S. Gordon and Reid Swanson},
url = {http://ict.usc.edu/pubs/Generalizing%20Semantic%20Role%20Annotations%20Across%20Syntactically%20Similar%20Verbs.pdf},
year = {2007},
date = {2007-06-01},
booktitle = {Proceedings of the 2007 Meeting of the Association for Computational Linguistics (ACL-07)},
address = {Prague, Czech Republic},
abstract = {Large corpora of parsed sentences with semantic role labels (e.g. PropBank) provide training data for use in the creation of high-performance automatic semantic role labeling systems. Despite the size of these corpora, individual verbs (or role-sets) often have only a handful of instances in these corpora, and only a fraction of English verbs have even a single annotation. In this paper, we describe an approach for dealing with this sparse data problem, enabling accurate semantic role labeling for novel verbs (rolesets) with only a single training example. Our approach involves the identification of syntactically similar verbs found in PropBank, the alignment of arguments in their corresponding rolesets, and the use of their corresponding annotations in PropBank as surrogate training data.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Large corpora of parsed sentences with semantic role labels (e.g. PropBank) provide training data for use in the creation of high-performance automatic semantic role labeling systems. Despite the size of these corpora, individual verbs (or role-sets) often have only a handful of instances in these corpora, and only a fraction of English verbs have even a single annotation. In this paper, we describe an approach for dealing with this sparse data problem, enabling accurate semantic role labeling for novel verbs (rolesets) with only a single training example. Our approach involves the identification of syntactically similar verbs found in PropBank, the alignment of arguments in their corresponding rolesets, and the use of their corresponding annotations in PropBank as surrogate training data.
58.
Hill, Randall W.; Kim, Julia; Zbylut, MIchelle L.; Gordon, Andrew S.; Traum, David; Gandhe, Sudeep; King, Stewart; Lavis, Salvo; Rocher, Scott
AXL.Net: Web-enabled Case Method Instruction for Accelerating Tacit Knowledge Acquisition in Leaders Proceedings Article
In: Proceedings of the 25th Army Science Conference, Orlando, FL, 2006.
@inproceedings{hill_axlnet_2006,
title = {AXL.Net: Web-enabled Case Method Instruction for Accelerating Tacit Knowledge Acquisition in Leaders},
author = {Randall W. Hill and Julia Kim and MIchelle L. Zbylut and Andrew S. Gordon and David Traum and Sudeep Gandhe and Stewart King and Salvo Lavis and Scott Rocher},
url = {http://ict.usc.edu/pubs/AXLNet-%20Web-enabled%20Case%20Method%20Instruction%20for%20Accelerating%20Tacit%20Knowledge%20Acquisition%20in%20Leaders.PDF},
year = {2006},
date = {2006-11-01},
booktitle = {Proceedings of the 25th Army Science Conference},
address = {Orlando, FL},
abstract = {AXL.Net is a prototype web-based immersive technology solution that supports case method teaching for U.S. Army leader development. The AXL.Net system addresses three challenges: (1) designing a pedagogicallysound research prototype for leader development, (2) integrating research technologies with the best of Web 2.0 innovations to enhance case method teaching, and (3) providing an easy to use system. Initial evaluations show that the prototype application and framework is effective for leader development.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
AXL.Net is a prototype web-based immersive technology solution that supports case method teaching for U.S. Army leader development. The AXL.Net system addresses three challenges: (1) designing a pedagogicallysound research prototype for leader development, (2) integrating research technologies with the best of Web 2.0 innovations to enhance case method teaching, and (3) providing an easy to use system. Initial evaluations show that the prototype application and framework is effective for leader development.
59.
Gordon, Andrew S.; Swanson, Reid
Integrating logical inference into statistical text classification applications Proceedings Article
In: Proceedings of AAAI Fall Symposium on Integrating Logical Reasoning into Everyday Applications, Washington D.C., 2006.
@inproceedings{gordon_integrating_2006,
title = {Integrating logical inference into statistical text classification applications},
author = {Andrew S. Gordon and Reid Swanson},
url = {http://ict.usc.edu/pubs/Integrating%20Logical%20Inference%20Into%20Statistical%20Text%20Classification%20Applications.pdf},
year = {2006},
date = {2006-10-01},
booktitle = {Proceedings of AAAI Fall Symposium on Integrating Logical Reasoning into Everyday Applications},
address = {Washington D.C.},
abstract = {Contemporary statistical text classification is becoming increasingly common across a wide range of everyday applications. Typically, the bottlenecks in performance are the availability and consistency of large amounts of training data. We argue that these techniques could be improved by seamlessly integrating logical inference into the text encoding pipeline, making it possible to utilize large-scale commonsense and special-purpose knowledge bases to aid in the interpretation and encoding of documents.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Contemporary statistical text classification is becoming increasingly common across a wide range of everyday applications. Typically, the bottlenecks in performance are the availability and consistency of large amounts of training data. We argue that these techniques could be improved by seamlessly integrating logical inference into the text encoding pipeline, making it possible to utilize large-scale commonsense and special-purpose knowledge bases to aid in the interpretation and encoding of documents.
60.
Gordon, Andrew S.
Fourth Frame Forums: Interactive Comics for Collaborative Learning Proceedings Article
In: Proceedings of the 14th Annual ACM International Conference on Multimedia (MM 2006), Santa Barbara, CA, 2006.
@inproceedings{gordon_fourth_2006,
title = {Fourth Frame Forums: Interactive Comics for Collaborative Learning},
author = {Andrew S. Gordon},
url = {http://ict.usc.edu/pubs/Fourth%20Frame%20Forums-%20Interactive%20Comics%20for%20Collaborative%20Learning.pdf},
year = {2006},
date = {2006-10-01},
booktitle = {Proceedings of the 14th Annual ACM International Conference on Multimedia (MM 2006)},
address = {Santa Barbara, CA},
abstract = {In this paper, we describe Fourth Frame Forums, an application that combines traditional four-frame comic strips with online web-based discussion forums. In this application, users are presented with a four-frame comic strip where the last dialogue balloon of the fourth frame is left blank. By typing a statement into this dialogue balloon, the user creates a new discussion thread in the forum, where the user?s dialogue choice can be critiqued and discussed by other users of the forum. We argue that Fourth Frame Forums provide an elegant and cost-effective solution for online education and training environments for communities of learners. We provide examples from the domain of US Army leadership development, and compare Fourth Frame Forums to alternative methods of story-directed simulation and training.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
In this paper, we describe Fourth Frame Forums, an application that combines traditional four-frame comic strips with online web-based discussion forums. In this application, users are presented with a four-frame comic strip where the last dialogue balloon of the fourth frame is left blank. By typing a statement into this dialogue balloon, the user creates a new discussion thread in the forum, where the user?s dialogue choice can be critiqued and discussed by other users of the forum. We argue that Fourth Frame Forums provide an elegant and cost-effective solution for online education and training environments for communities of learners. We provide examples from the domain of US Army leadership development, and compare Fourth Frame Forums to alternative methods of story-directed simulation and training.
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