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
- 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)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/P16-1049.pdf
- Data
- SimpleQuestions, WikiQA