異なる特性を持つデータの組み合わせによる雑談対話の破綻検出

抄録

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.