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%0 Conference Proceedings
%T Finding Appropriate Subset of Votes Per Classifier Using Multiobjective Optimization: Application to Named Entity Recognition
%A Ekbal, Asif
%A Saha, Sriparna
%A Hasanuzzaman, Md.
%Y Otoguro, Ryo
%Y Ishikawa, Kiyoshi
%Y Umemoto, Hiroshi
%Y Yoshimoto, Kei
%Y Harada, Yasunari
%S Proceedings of the 24th Pacific Asia Conference on Language, Information and Computation
%D 2010
%8 November
%I Institute of Digital Enhancement of Cognitive Processing, Waseda University
%C Tohoku University, Sendai, Japan
%F ekbal-etal-2010-finding
%U https://aclanthology.org/Y10-1015
%P 115-124

Markdown (Informal)

[Finding Appropriate Subset of Votes Per Classifier Using Multiobjective Optimization: Application to Named Entity Recognition](https://aclanthology.org/Y10-1015) (Ekbal et al., PACLIC 2010)

• Finding Appropriate Subset of Votes Per Classifier Using Multiobjective Optimization: Application to Named Entity Recognition (Ekbal et al., PACLIC 2010)

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.