This work describes an automatic news chatbot that draws content from a diverse set of news articles and creates conversations with a user about the news. Key components of the system include the automatic organization of news articles into topical chatrooms, integration of automatically generated questions into the conversation, and a novel method for choosing which questions to present which avoids repetitive suggestions. We describe the algorithmic framework and present the results of a usability study that shows that news readers using the system successfully engage in multi-turn conversations about specific news stories.
CITATION STYLE
Laban, P., Canny, J., & Hearst, M. A. (2020). What’s the latest? A question-driven news chatbot. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (pp. 380–387). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2020.acl-demos.43
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