- Anthology ID:
- N07-1033
- Volume:
- Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Proceedings of the Main Conference
- Month:
- April
- Year:
- 2007
- Address:
- Rochester, New York
- Editors:
- Candace Sidner, Tanja Schultz, Matthew Stone, ChengXiang Zhai
- Venue:
- NAACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 260–267
- Language:
- URL:
- https://aclanthology.org/N07-1033
- DOI:
- Cite (ACL):
- Omar Zaidan, Jason Eisner, and Christine Piatko. 2007. Using “Annotator Rationales” to Improve Machine Learning for Text Categorization. In Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Proceedings of the Main Conference, pages 260–267, Rochester, New York. Association for Computational Linguistics.
- Cite (Informal):
- Using “Annotator Rationales” to Improve Machine Learning for Text Categorization (Zaidan et al., NAACL 2007)
- PDF:
- https://preview.aclanthology.org/naacl24-info/N07-1033.pdf