Dialog System Using Real-Time Crowdsourcing and Twitter Large-Scale Corpus
Fumihiro Bessho, Tatsuya Harada, Yasuo Kuniyoshi · 2012
We propose a dialog system that creates responses based on a large-scale dialog corpus retrieved from Twitter and real-time crowdsourcing. 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 realtime crowdsourcing framework for handling the case in which there is no adequate response in the database. 1