Gossip Galore: a self-learning agent for exchanging pop trivia

Authors:
Xiwen Cheng;Peter Adolphs;Feiyu Xu;Hans Uszkoreit;Hong Li
Affiliations:
Language Technology Lab, Stuhlsatzenhausweg, Saarbrücken, Germany;Language Technology Lab, Stuhlsatzenhausweg, Saarbrücken, Germany;Language Technology Lab, Stuhlsatzenhausweg, Saarbrücken, Germany;Language Technology Lab, Stuhlsatzenhausweg, Saarbrücken, Germany;Language Technology Lab, Stuhlsatzenhausweg, Saarbrücken, Germany
Venue:
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics: Demonstrations Session
Year:
2009

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Abstract

This paper describes a self-learning software agent who collects and learns knowledge from the web and also exchanges her knowledge via dialogues with the users. The agent is built on top of information extraction, web mining, question answering and dialogue system technologies, and users can freely formulate their questions within the gossip domain and obtain the answers in multiple ways: textual response, graph-based visualization of the related concepts and speech output.