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Knowledge Sources for Word Sense Disambiguation

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Text, Speech and Dialogue (TSD 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2166))

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Abstract

Two kinds of systems have been defined during the long history of WSD: principled systems that de.ne which knowledge types are useful for WSD, and robust systems that use the information sources at hand, such as, dictionaries, light-weight ontologies or hand-tagged corpora. This paper tries to systematize the relation between desired knowledge types and actual information sources. We also compare the results for a wide range of algorithms that have been evaluated on a common test setting in our research group. We hope that this analysis will help change the shift from systems based on information sources to systems based on knowledge sources. This study might also shed some light on semi-automatic acquisition of desired knowledge types from existing resources.

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Author information

Authors and Affiliations

  1. IxA NLP group, Basque Country University, 649 pk., E-20080, Donostia, Spain

    Eneko Agirre & David Martinez

Authors
  1. Eneko Agirre
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  2. David Martinez
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Editors and Affiliations

  1. Dept. of Computer Science and Engineering, University of West Bohemia in Plzeň, Faculty of Applied Sciences, Univerzitní 22, 306-14, Plzeň, Czech Republic

    Václav Matoušek , Pavel Mautner , Roman Mouček  & Karel Taušer , ,  & 

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© 2001 Springer-Verlag Berlin Heidelberg

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Agirre, E., Martinez, D. (2001). Knowledge Sources for Word Sense Disambiguation. In: Matoušek, V., Mautner, P., Mouček, R., Taušer, K. (eds) Text, Speech and Dialogue. TSD 2001. Lecture Notes in Computer Science(), vol 2166. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44805-5_1

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  • DOI: https://doi.org/10.1007/3-540-44805-5_1

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42557-1

  • Online ISBN: 978-3-540-44805-1

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