Learning Text Pair Similarity with Context-sensitive Autoencoders

Hadi Amiri, Philip Resnik, Jordan Boyd-Graber, Hal Daumé III


Anthology ID:
P16-1177
Volume:
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Month:
August
Year:
2016
Address:
Berlin, Germany
Editors:
Katrin Erk, Noah A. Smith
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1882–1892
Language:
URL:
https://aclanthology.org/P16-1177
DOI:
10.18653/v1/P16-1177
Bibkey:
Cite (ACL):
Hadi Amiri, Philip Resnik, Jordan Boyd-Graber, and Hal Daumé III. 2016. Learning Text Pair Similarity with Context-sensitive Autoencoders. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1882–1892, Berlin, Germany. Association for Computational Linguistics.
Cite (Informal):
Learning Text Pair Similarity with Context-sensitive Autoencoders (Amiri et al., ACL 2016)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingest-bitext-workshop/P16-1177.pdf