Paper: Gossip Galore – A Self-Learning Agent for Exchanging Pop Trivia

ACL ID E09-2004
Title Gossip Galore – A Self-Learning Agent for Exchanging Pop Trivia
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session System Demonstration
Year 2009
Authors

This paper describes a self-learning soft- ware agent who collects and learns knowl- edge 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 answer- ing and dialogue system technologies, and users can freely formulate their questions within the gossip domain and obtain the answers in multiple ways: textual re- sponse, graph-based visualization of the related concepts and speech output.