Question Relevance in VQA: Identifying Non-Visual And False-Premise Questions

Article Details
Title:	Question Relevance in VQA: Identifying Non-Visual And False-Premise Questions
Article URLs:	https://doi.org/10.18653/v1/d16-1090 https://www.aclweb.org/anthology/D16-1090/
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Authors:	Arijit Ray	Virginia Tech
	Gordon Christie	Virginia Tech
	Mohit Bansal	UNC Chapel Hill
	Dhruv Batra	Georgia Institute of Technology Virginia Tech
	Devi Parikh	Georgia Institute of Technology Virginia Tech
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DBLP Key:	conf/emnlp/RayCBBP16
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ACL Conf. on Empirical Methods in Natural Language Processing, EMNLP 2016