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
- 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)
- PDF:
- https://preview.aclanthology.org/ingest-bitext-workshop/P16-1177.pdf