In this paper, we explore the problem of developing an argumentative dialogue agent that can be able to discuss with human users on controversial topics. We describe two systems that use retrieval-based and generative models to make argumentative responses to the users. The experiments show promising results although they have been trained on a small dataset.
CITATION STYLE
Le, D. T., Nguyen, C. T., & Nguyen, K. A. (2018). Dave the debater: A retrieval-based and generative argumentative dialogue agent. In EMNLP 2018 - Proceedings of the 5th Workshop on Argument Mining (pp. 121–130). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w18-5215
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