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
- 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)
- PDF:
- https://preview.aclanthology.org/corrections-2024-05/N15-1089.pdf