• Computer Science
• Published in COLING 2012

Using Distributional Similarity for Lexical Expansion in Knowledge-based Word Sense Disambiguation

@inproceedings{Miller2012UsingDS,
  title={Using Distributional Similarity for Lexical Expansion in Knowledge-based Word Sense Disambiguation},
  author={Tristan Miller and Chris Biemann and Torsten Zesch and Iryna Gurevych},
  booktitle={COLING},
  year={2012}
}

• Tristan Miller, Chris Biemann, +1 author Iryna Gurevych

We explore the contribution of distributional information for purely knowledge-based word sense disambiguation. Specifically, we use a distributional thesaurus, computed from a large parsed corpus, for lexical expansion of context and sense information. This bridges the lexical gap that is seen as the major obstacle for word overlap‐based approaches. We apply this mechanism to two traditional knowledge-based methods and show that distributional information significantly improves disambiguation… CONTINUE READING

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