What’s The Latest? A Question-driven News Chatbot

Philippe Laban, John Canny, Marti A. Hearst


Abstract
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.
Anthology ID:
2020.acl-demos.43
Volume:
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
Month:
July
Year:
2020
Address:
Online
Editors:
Asli Celikyilmaz, Tsung-Hsien Wen
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
380–387
Language:
URL:
https://aclanthology.org/2020.acl-demos.43
DOI:
10.18653/v1/2020.acl-demos.43
Bibkey:
Cite (ACL):
Philippe Laban, John Canny, and Marti A. Hearst. 2020. What’s The Latest? A Question-driven News Chatbot. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 380–387, Online. Association for Computational Linguistics.
Cite (Informal):
What’s The Latest? A Question-driven News Chatbot (Laban et al., ACL 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.acl-demos.43.pdf
Video:
 http://slideslive.com/38928615
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