Host: The Japanese Society for Artificial intelligence
Name : 75th SIG-SLUD
Number : 75
Location : [in Japanese]
Date : October 29, 2015 - October 30, 2015
Pages 12-
Chat-oriented dialogue systems sometimes generate utterances that are inappropriate as the responses for user utterances and cause dialogue breakdown If a system can predict whether an utterance cause dialogue breakdown, it helps to continue dialogue with suppressing such inappropriate system utterances. In this paper, I develop a dialogue breakingdown detector and analyze the effects of training features, data and algorithms for dialogue breakdown detection performance.