Unanimous Prediction for 100% Precision with Application to Learning Semantic Mappings

Fereshte Khani, Martin Rinard, Percy Liang


Anthology ID:
P16-1090
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:
952–962
Language:
URL:
https://aclanthology.org/P16-1090
DOI:
10.18653/v1/P16-1090
Bibkey:
Cite (ACL):
Fereshte Khani, Martin Rinard, and Percy Liang. 2016. Unanimous Prediction for 100% Precision with Application to Learning Semantic Mappings. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 952–962, Berlin, Germany. Association for Computational Linguistics.
Cite (Informal):
Unanimous Prediction for 100% Precision with Application to Learning Semantic Mappings (Khani et al., ACL 2016)
Copy Citation:
PDF:
https://preview.aclanthology.org/add_acl24_videos/P16-1090.pdf