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Word Sense Disambiguation pp 167–216Cite as

Supervised Corpus-Based Methods for WSD

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

In this chapter, the supervised approach to word sense disambiguation is presented, which consists of automatically inducing classification models or rules from annotated examples. We start by introducing the machine learning framework for classification and some important related concepts. Then, a review of the main approaches in the literature is presented, focusing on the following issues: learning paradigms, corpora used, sense repositories, and feature representation. We also include a more detailed description of five statistical and machine learning algorithms, which are experimentally evaluated and compared on the DSO corpus. In the final part of the chapter, the current challenges of the supervised learning approach to WSD are briefly discussed.

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Authors and Affiliations

  1. Polytechnical University of Catalunya (UPC), C/ Jordi Girona Salgado 1-3, E-08034, Barcelona, Catalonia, Spain

    Associate Professor Lluís Màrquez

  2. Universitat Politècnica de Catalunya, Urgell 187, E-08036, Barcelona, Catalonia, Spain

    Assistant Professor Gerard Escudero

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

    David Martínez

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

    Associate Professor German Rigau

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  1. Associate Professor Lluís Màrquez
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  2. Assistant Professor Gerard Escudero
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  3. David Martínez
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  4. Associate Professor German Rigau
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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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Màrquez, L., Escudero, G., Martínez, D., Rigau, G. (2007). Supervised Corpus-Based Methods 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_7

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