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
- 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)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2020.acl-demos.43.pdf
- Data
- QuAC, SQuAD