Taking into Account the Differences between Actively and Passively Acquired Data: The Case of Active Learning with Support Vector Machines for Imbalanced Datasets

Michael Bloodgood, K. Vijay-Shanker


Anthology ID:
N09-2035
Volume:
Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers
Month:
June
Year:
2009
Address:
Boulder, Colorado
Editors:
Mari Ostendorf, Michael Collins, Shri Narayanan, Douglas W. Oard, Lucy Vanderwende
Venue:
NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
137–140
Language:
URL:
https://aclanthology.org/N09-2035
DOI:
Bibkey:
Cite (ACL):
Michael Bloodgood and K. Vijay-Shanker. 2009. Taking into Account the Differences between Actively and Passively Acquired Data: The Case of Active Learning with Support Vector Machines for Imbalanced Datasets. In Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers, pages 137–140, Boulder, Colorado. Association for Computational Linguistics.
Cite (Informal):
Taking into Account the Differences between Actively and Passively Acquired Data: The Case of Active Learning with Support Vector Machines for Imbalanced Datasets (Bloodgood & Vijay-Shanker, NAACL 2009)
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PDF:
https://aclanthology.org/N09-2035.pdf