Abstract
We propose a novel utterance selection method for chat-oriented dialogue systems . Many chat-oriented dialogue systems have huge databases of candidate utterances for utterance generation. However, many of these systems have a critical issue in that they select utterances that are inappropriate to the past conversation due to a limitation in contextual understanding. We solve this problem with our proposed method, which uses a discourse relation to the last utterance when selecting an utterance from candidate utterances. We aim to improve the performance of system utterance selection by preferentially selecting an utterance that has a discourse relation to the last utterance. Experimental results with human subjects showed that our proposed method was more effective than previous utterance selection methods.
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Otsuka, A., Hirano, T., Miyazaki, C., Higashinaka, R., Makino, T., Matsuo, Y. (2017). Utterance Selection Using Discourse Relation Filter for Chat-oriented Dialogue Systems. In: Jokinen, K., Wilcock, G. (eds) Dialogues with Social Robots. Lecture Notes in Electrical Engineering, vol 427. Springer, Singapore. https://doi.org/10.1007/978-981-10-2585-3_29
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DOI: https://doi.org/10.1007/978-981-10-2585-3_29
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