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
- 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
- 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)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/D16-1090.pdf
- Data
- Visual Question Answering