Samuel Brody, Roberto Navigli, and Mirella Lapata. 2006. Ensemble Methods for Unsupervised WSD. In Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, 97-104. Sydney, Australia.

Combination methods are an effective way of improving system performance. This paper examines the bene ts of system combination for unsupervised WSD. We investigate several voting- and arbiterbased combination strategies over a diverse pool of unsupervised WSD systems. Our combination methods rely on predominant senses which are derived automatically from raw text. Experiments using the SemCor and Senseval-3 data sets demonstrate that our ensembles yield signicantly better results when compared with state-of-the-art.

@InProceedings{Brody:ea:06,
  author =     {Samuel Brody and Roberto Navigli and Mirella Lapata},
  title =      {Ensemble Methods for Unsupervised WSD},
  crossref =   {ACL:COLING:06},
  pages =      {97--104}
}

@Proceedings{ACL:COLING:06,
  title =      {Proceedings of the 21st International Conference on
                Computational Linguistics and 44th Annual Meeting of the Association
                for Computational Linguistics},  
  booktitle =  {Proceedings of the 21st International Conference on
                Computational Linguistics and 44th Annual Meeting of the Assocaition
                for Computational Linguistics}, 
  address =    {Sydney, Australia},
  year =       2006
}