Word Sense Induction and Disambiguation

  • Chris Biemann
Part of the Theory and Applications of Natural Language Processing book series (NLP)


Major difficulties in language processing are caused by the fact that many words are ambiguous, i.e. they have different meanings in different contexts, but are written (or pronounced) in the same way. While syntactic ambiguities have already been addressed in the previous chapter, now the focus is set on the semantic dimension of this problem. In this chapter, the problem of word sense ambiguity is discussed in detail. A Structure Discovery process is set up, which is used as a feature to successfully improve a supervised word sense disambiguation (WSD) system. On this basis, a high-precision system for automatically providing lexical substitutions is constructed.


Target Word Ambiguous Word Word Sense Word Sense Disambiguation Cluster Feature 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Chris Biemann
    • 1
  1. 1.Computer Science DepartmentTechnische Universität DarmstadtDarmstadtGermany

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