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
Editors:
Katrin Erk, Noah A. Smith
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
Bibkey:
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)
Copy Citation:
PDF:
https://aclanthology.org/P16-1110.pdf