Agent Dialogue: A Platform for Conversational Information Seeking Experimentation (bibtex)
by Czyzewski, Adam, Dalton, Jeffrey and Leuski, Anton
Abstract:
Conversational Information Seeking (CIS) is an emerging area of Information Retrieval focused on interactive search systems. As a result there is a need for new benchmark datasets and tools to enable their creation. In this demo we present the Agent Dialogue (AD) platform, an open-source system developed for researchers to perform Wizard-of-Oz CIS experiments. AD is a scalable cloud-native platform developed with Docker and Kubernetes with a flexible and modular micro-service architecture built on production-grade stateof-the-art open-source tools (Kubernetes, gRPC streaming, React, and Firebase). It supports varied front-ends and has the ability to interface with multiple existing agent systems, including Google Assistant and open-source search libraries. It includes support for centralized structure logging as well as offline relevance annotation.
Reference:
Agent Dialogue: A Platform for Conversational Information Seeking Experimentation (Czyzewski, Adam, Dalton, Jeffrey and Leuski, Anton), In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM, 2020.
Bibtex Entry:
@inproceedings{czyzewski_agent_2020,
	address = {Virtual Event China},
	title = {Agent {Dialogue}: {A} {Platform} for {Conversational} {Information} {Seeking} {Experimentation}},
	isbn = {978-1-4503-8016-4},
	url = {https://dl.acm.org/doi/10.1145/3397271.3401397},
	doi = {10.1145/3397271.3401397},
	abstract = {Conversational Information Seeking (CIS) is an emerging area of Information Retrieval focused on interactive search systems. As a result there is a need for new benchmark datasets and tools to enable their creation. In this demo we present the Agent Dialogue (AD) platform, an open-source system developed for researchers to perform Wizard-of-Oz CIS experiments. AD is a scalable cloud-native platform developed with Docker and Kubernetes with a flexible and modular micro-service architecture built on production-grade stateof-the-art open-source tools (Kubernetes, gRPC streaming, React, and Firebase). It supports varied front-ends and has the ability to interface with multiple existing agent systems, including Google Assistant and open-source search libraries. It includes support for centralized structure logging as well as offline relevance annotation.},
	booktitle = {Proceedings of the 43rd {International} {ACM} {SIGIR} {Conference} on {Research} and {Development} in {Information} {Retrieval}},
	publisher = {ACM},
	author = {Czyzewski, Adam and Dalton, Jeffrey and Leuski, Anton},
	month = jul,
	year = {2020},
	keywords = {ARO-Coop, Virtual Humans},
	pages = {2121--2124}
}
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