Dialog system using real-time crowdsourcing and Twitter large-scale corpus

Authors:
Fumihiro Bessho;Tatsuya Harada;Yasuo Kuniyoshi
Affiliations:
The University of Tokyo, Tokyo, Japan;The University of Tokyo, Tokyo, Japan;The University of Tokyo, Tokyo, Japan
Venue:
SIGDIAL '12 Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Year:
2012

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Abstract

We propose a dialog system that creates responses based on a large-scale dialog corpus retrieved from Twitter and real-time crowd-sourcing. Instead of using complex dialog management, our system replies with the utterance from the database that is most similar to the user input. We also propose a real-time crowdsourcing framework for handling the case in which there is no adequate response in the database.