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%0 Conference Proceedings
%T Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus
%A Serban, Iulian Vlad
%A García-Durán, Alberto
%A Gulcehre, Caglar
%A Ahn, Sungjin
%A Chandar, Sarath
%A Courville, Aaron
%A Bengio, Yoshua
%Y Erk, Katrin
%Y Smith, Noah A.
%S Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
%D 2016
%8 August
%I Association for Computational Linguistics
%C Berlin, Germany
%F serban-etal-2016-generating
%R 10.18653/v1/P16-1056
%U https://aclanthology.org/P16-1056
%U https://doi.org/10.18653/v1/P16-1056
%P 588-598

Markdown (Informal)

[Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus](https://aclanthology.org/P16-1056) (Serban et al., ACL 2016)

• Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus (Serban et al., ACL 2016)

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.