Resolving Language and Vision Ambiguities Together: Joint Segmentation & Prepositional Attachment Resolution in Captioned Scenes

Gordon Christie, Ankit Laddha, Aishwarya Agrawal, Stanislaw Antol, Yash Goyal, Kevin Kochersberger, Dhruv Batra


Anthology ID:
D16-1156
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:
1493–1503
Language:
URL:
https://aclanthology.org/D16-1156
DOI:
10.18653/v1/D16-1156
Bibkey:
Cite (ACL):
Gordon Christie, Ankit Laddha, Aishwarya Agrawal, Stanislaw Antol, Yash Goyal, Kevin Kochersberger, and Dhruv Batra. 2016. Resolving Language and Vision Ambiguities Together: Joint Segmentation & Prepositional Attachment Resolution in Captioned Scenes. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pages 1493–1503, Austin, Texas. Association for Computational Linguistics.
Cite (Informal):
Resolving Language and Vision Ambiguities Together: Joint Segmentation & Prepositional Attachment Resolution in Captioned Scenes (Christie et al., EMNLP 2016)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingestion-script-update/D16-1156.pdf
Attachment:
 D16-1156.Attachment.zip
Data
PASCAL Context