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

Arijit Ray, Gordon Christie, Mohit Bansal, Dhruv Batra, Devi Parikh


Anthology ID:
D16-1090
Volume:
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
Month:
November
Year:
2016
Address:
Austin, Texas
Editors:
Jian Su, Kevin Duh, Xavier Carreras
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
919–924
Language:
URL:
https://aclanthology.org/D16-1090
DOI:
10.18653/v1/D16-1090
Bibkey:
Cite (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.
Cite (Informal):
Question Relevance in VQA: Identifying Non-Visual And False-Premise Questions (Ray et al., EMNLP 2016)
Copy Citation:
PDF:
https://aclanthology.org/D16-1090.pdf
Attachment:
 D16-1090.Attachment.zip
Data
Visual Question Answering