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

Asif Ekbal, Sriparna Saha 0001, Mohammed Hasanuzzaman. Finding Appropriate Subset of Votes Per Classifier Using Multiobjective Optimization: Application to Named Entity Recognition. In Ryo Otoguro, Kiyoshi Ishikawa, Hiroshi Umemoto, Kei Yoshimoto, Yasunari Harada, editors, Proceedings of the 24th Pacific Asia Conference on Language, Information and Computation, PACLIC 24, Tohoku University, Japan, 4-7 November 2010. pages 115-124, Institute for Digital Enhancement of Cognitive Development, Waseda University, 2010. [doi]

@inproceedings{EkbalSH10-0,
  title = {Finding Appropriate Subset of Votes Per Classifier Using Multiobjective Optimization: Application to Named Entity Recognition},
  author = {Asif Ekbal and Sriparna Saha 0001 and Mohammed Hasanuzzaman},
  year = {2010},
  url = {http://www.aclweb.org/anthology/Y10-1015},
  researchr = {https://researchr.org/publication/EkbalSH10-0},
  cites = {0},
  citedby = {0},
  pages = {115-124},
  booktitle = {Proceedings of the 24th Pacific Asia Conference on Language, Information and Computation, PACLIC 24, Tohoku University, Japan, 4-7 November 2010},
  editor = {Ryo Otoguro and Kiyoshi Ishikawa and Hiroshi Umemoto and Kei Yoshimoto and Yasunari Harada},
  publisher = {Institute for Digital Enhancement of Cognitive Development, Waseda University},
  isbn = {978-4-905166-00-9},
}