Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus
Iulian Vlad Serban, Alberto García-Durán, Caglar Gulcehre, Sungjin Ahn, Sarath Chandar, Aaron Courville, Yoshua Bengio
- Anthology ID:
- P16-1056
- 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:
- 588–598
- Language:
- URL:
- https://aclanthology.org/P16-1056
- DOI:
- 10.18653/v1/P16-1056
- Cite (ACL):
- Iulian Vlad Serban, Alberto García-Durán, Caglar Gulcehre, Sungjin Ahn, Sarath Chandar, Aaron Courville, and Yoshua Bengio. 2016. Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 588–598, Berlin, Germany. Association for Computational Linguistics.
- Cite (Informal):
- Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus (Serban et al., ACL 2016)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/P16-1056.pdf
- Data
- 30MQA