Abstract
Towards creating an open-domain argumentative dialogue system, preparing a database of structured argumentative knowledge for the system as reported in previous work is difficult because diverse propositions exist in the open-domain setting. In this paper, instead of structured knowledge, we use a simple seq2seq-based model to generate supportive utterances to user utterances in an open-domain discussion. We manually collected 45,000 utterance pairs consisting of a user utterance and supportive utterance and proposed a method to augment the manually collected pairs to cover various discussion topics. The generated supportive utterances were then manually evaluated and the results showed that the proposed model could generate supportive utterances with an accuracy of 0.70, significantly outperforming baselines.
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Mitsuda, K., Higashinaka, R., Katayama, T., Tomita, J. (2021). Generating Supportive Utterances for Open-Domain Argumentative Dialogue Systems. 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_7
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DOI: https://doi.org/10.1007/978-981-15-9323-9_7
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