Abstract
Despite of the significant improvements of Natural Language Processing with Neural networks such as machine reading comprehensions, chat-oriented dialogue systems sometimes generate inappropriate response utterances that cause dialogue breakdown because of the difficulty of generating utterances. If we can detect such inappropriate utterances and suppress them, dialogue systems can continue the dialogue easily.
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Sugiyama, H. (2021). Dialogue Breakdown Detection Using BERT with Traditional Dialogue Features. In: Marchi, E., Siniscalchi, S.M., Cumani, S., Salerno, V.M., Li, H. (eds) Increasing Naturalness and Flexibility in Spoken Dialogue Interaction. Lecture Notes in Electrical Engineering, vol 714. Springer, Singapore. https://doi.org/10.1007/978-981-15-9323-9_39
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DOI: https://doi.org/10.1007/978-981-15-9323-9_39
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