DocChat: An Information Retrieval Approach for Chatbot Engines Using Unstructured Documents

Zhao Yan, Nan Duan, Junwei Bao, Peng Chen, Ming Zhou, Zhoujun Li, Jianshe Zhou


Anthology ID:
P16-1049
Volume:
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Month:
August
Year:
2016
Address:
Berlin, Germany
Editors:
Katrin Erk, Noah A. Smith
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
516–525
Language:
URL:
https://aclanthology.org/P16-1049
DOI:
10.18653/v1/P16-1049
Bibkey:
Cite (ACL):
Zhao Yan, Nan Duan, Junwei Bao, Peng Chen, Ming Zhou, Zhoujun Li, and Jianshe Zhou. 2016. DocChat: An Information Retrieval Approach for Chatbot Engines Using Unstructured Documents. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 516–525, Berlin, Germany. Association for Computational Linguistics.
Cite (Informal):
DocChat: An Information Retrieval Approach for Chatbot Engines Using Unstructured Documents (Yan et al., ACL 2016)
Copy Citation:
PDF:
https://aclanthology.org/P16-1049.pdf
Data
SimpleQuestionsWikiQA