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Knowledge Sources for WSD

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Word Sense Disambiguation

Part of the book series: Text, Speech and Language Technology ((TLTB,volume 33))

This chapter explores the different sources of linguistic knowledge that can be employed by WSD systems. These are more abstract than the features used by WSD algorithms, which are encoded at the algorithmic level and normally extracted from a lexical resource or corpora. The chapter begins by listing a comprehensive set of knowledge sources with examples of their application and then explains whether this linguistic knowledge may be found in corpora, lexical knowledge bases or machine readable dictionaries. An analysis of knowledge sources used in actual WSD systems is then presented. It has been observed that the best results are often obtained by combining knowledge sources and the chapter concludes by analyzing experiments on the effect of different knowledge sources which have implications about the effectiveness of each.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of the Basque Country, Manuel de Lardizabal 1, E-20018, Donostia, Basque Country, Spain

    Associate Professor Eneko Agirre

  2. Department of Computer Science, University of Sheffield, S1 4DP, Sheffield, UK

    Lecturer Mark Stevenson

Authors
  1. Associate Professor Eneko Agirre
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  2. Lecturer Mark Stevenson
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of the Basque Country, Manuel de Lardizabal 1, E-20018, Donostia, Basque Country, Spain

    Eneko Agirre

  2. Sharp Laboratories of Europe Limited, Oxford Science Park, OX4 4GB, Oxford, UK

    Philip Edmonds

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Agirre, E., Stevenson, M. (2007). Knowledge Sources for WSD. In: Agirre, E., Edmonds, P. (eds) Word Sense Disambiguation. Text, Speech and Language Technology, vol 33. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-4809-8_8

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