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%0 Conference Proceedings
%T Question Relevance in VQA: Identifying Non-Visual And False-Premise Questions
%A Ray, Arijit
%A Christie, Gordon
%A Bansal, Mohit
%A Batra, Dhruv
%A Parikh, Devi
%Y Su, Jian
%Y Duh, Kevin
%Y Carreras, Xavier
%S Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
%D 2016
%8 November
%I Association for Computational Linguistics
%C Austin, Texas
%F ray-etal-2016-question
%R 10.18653/v1/D16-1090
%U https://aclanthology.org/D16-1090
%U https://doi.org/10.18653/v1/D16-1090
%P 919-924

Markdown (Informal)

[Question Relevance in VQA: Identifying Non-Visual And False-Premise Questions](https://aclanthology.org/D16-1090) (Ray et al., EMNLP 2016)

• Question Relevance in VQA: Identifying Non-Visual And False-Premise Questions (Ray et al., EMNLP 2016)

ACL

• Arijit Ray, Gordon Christie, Mohit Bansal, Dhruv Batra, and Devi Parikh. 2016. Question Relevance in VQA: Identifying Non-Visual And False-Premise Questions. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pages 919–924, Austin, Texas. Association for Computational Linguistics.