Finding Appropriate Subset of Votes Per Classifier Using Multiobjective Optimization: Application to Named Entity Recognition

Asif Ekbal, Sriparna Saha, Md. Hasanuzzaman


Anthology ID:
Y10-1015
Volume:
Proceedings of the 24th Pacific Asia Conference on Language, Information and Computation
Month:
November
Year:
2010
Address:
Tohoku University, Sendai, Japan
Editors:
Ryo Otoguro, Kiyoshi Ishikawa, Hiroshi Umemoto, Kei Yoshimoto, Yasunari Harada
Venue:
PACLIC
SIG:
Publisher:
Institute of Digital Enhancement of Cognitive Processing, Waseda University
Note:
Pages:
115–124
Language:
URL:
https://aclanthology.org/Y10-1015
DOI:
Bibkey:
Cite (ACL):
Asif Ekbal, Sriparna Saha, and Md. Hasanuzzaman. 2010. Finding Appropriate Subset of Votes Per Classifier Using Multiobjective Optimization: Application to Named Entity Recognition. In Proceedings of the 24th Pacific Asia Conference on Language, Information and Computation, pages 115–124, Tohoku University, Sendai, Japan. Institute of Digital Enhancement of Cognitive Processing, Waseda University.
Cite (Informal):
Finding Appropriate Subset of Votes Per Classifier Using Multiobjective Optimization: Application to Named Entity Recognition (Ekbal et al., PACLIC 2010)
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PDF:
https://aclanthology.org/Y10-1015.pdf