Early Gains Matter: A Case for Preferring Generative over Discriminative Crowdsourcing Models

Paul Felt, Kevin Black, Eric Ringger, Kevin Seppi, Robbie Haertel


Anthology ID:
N15-1089
Volume:
Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Month:
May–June
Year:
2015
Address:
Denver, Colorado
Editors:
Rada Mihalcea, Joyce Chai, Anoop Sarkar
Venue:
NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
882–891
Language:
URL:
https://aclanthology.org/N15-1089
DOI:
10.3115/v1/N15-1089
Bibkey:
Cite (ACL):
Paul Felt, Kevin Black, Eric Ringger, Kevin Seppi, and Robbie Haertel. 2015. Early Gains Matter: A Case for Preferring Generative over Discriminative Crowdsourcing Models. In Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 882–891, Denver, Colorado. Association for Computational Linguistics.
Cite (Informal):
Early Gains Matter: A Case for Preferring Generative over Discriminative Crowdsourcing Models (Felt et al., NAACL 2015)
Copy Citation:
PDF:
https://aclanthology.org/N15-1089.pdf
Note:
 N15-1089.Notes.pdf