Determining Ambiguity Classes for Part-of-Speech Tagging

Markus Dickinson

Proceedings of RANLP-07.

We examine how words group together in the lexicon, in terms of ambiguity classes, and use this information in a redefined tagset to improve POS tagging. In light of errors in the training data and a limited amount of annotated data, we investigate ways to define ambiguity classes for words which consider the lexicon as a whole and predict unknown uses of words. Fitting words to typical ambiguity classes is shown to provide more accurate ambiguity classes for words and to significantly improve tagging performance.

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Bibtex entry:

  author =       {Markus Dickinson}, 
  title =        {Determining Ambiguity Classes for Part-of-Speech
  booktitle =    {Proceedings of the International Conference on Recent 
                  Advances in Natural Language Processing 2007 (RANLP-07)}, 
  address =      {Borovets, Bulgaria},
  pages =        {167--172},
  year =         {2007},
  url =  {}