Learning Hybrid Representations to Retrieve Semantically Equivalent Questions

Cícero dos Santos, Luciano Barbosa, Dasha Bogdanova, Bianca Zadrozny


Anthology ID:
P15-2114
Volume:
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
Month:
July
Year:
2015
Address:
Beijing, China
Editors:
Chengqing Zong, Michael Strube
Venues:
ACL | IJCNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
694–699
Language:
URL:
https://aclanthology.org/P15-2114
DOI:
10.3115/v1/P15-2114
Bibkey:
Cite (ACL):
Cícero dos Santos, Luciano Barbosa, Dasha Bogdanova, and Bianca Zadrozny. 2015. Learning Hybrid Representations to Retrieve Semantically Equivalent Questions. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 694–699, Beijing, China. Association for Computational Linguistics.
Cite (Informal):
Learning Hybrid Representations to Retrieve Semantically Equivalent Questions (dos Santos et al., ACL-IJCNLP 2015)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-4/P15-2114.pdf