ALTO: Active Learning with Topic Overviews for Speeding Label Induction and Document Labeling
Forough Poursabzi-Sangdeh, Jordan Boyd-Graber, Leah Findlater, Kevin Seppi
- Anthology ID:
- P16-1110
- Volume:
- Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Month:
- August
- Year:
- 2016
- Address:
- Berlin, Germany
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 1158–1169
- Language:
- URL:
- https://aclanthology.org/P16-1110
- DOI:
- 10.18653/v1/P16-1110
- Cite (ACL):
- Forough Poursabzi-Sangdeh, Jordan Boyd-Graber, Leah Findlater, and Kevin Seppi. 2016. ALTO: Active Learning with Topic Overviews for Speeding Label Induction and Document Labeling. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1158–1169, Berlin, Germany. Association for Computational Linguistics.
- Cite (Informal):
- ALTO: Active Learning with Topic Overviews for Speeding Label Induction and Document Labeling (Poursabzi-Sangdeh et al., ACL 2016)
- PDF:
- https://preview.aclanthology.org/auto-file-uploads/P16-1110.pdf