RNNを用いた対話破綻検出器の構築

抄録

We propose a dialogue breakdown detector based on the Recurrent Neural Netwoek (RNN). RNN is an extension of the neural network, which can consider old context information in sequential input. We construct a RNN network that receives utterance pairs of user and dialogue system as inputs, and outputs the breakdown label for each system's utterance. The input utterances are separated into vectors of words,cooccurrence words,and represented distributional sentence vectors. Finally, we combined these features and detector evaluated the breakdown detection accuracy.