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International Workshop on Finite-State Methods and Natural Language Processing

FSMNLP 2005: Finite-State Methods and Natural Language Processing pp 285–287Cite as

Tagging with Delayed Disambiguation

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4002))

Abstract

We discuss problems inherent in domain specific tagging (biomedical domain) and their relevance to tagging issues in general. We present a novel approach to this problem which we call tagging with delayed disambiguation (TDD). This approach uses a modified, statistically-driven lexicon together with a small set of morphological, heuristic, and chunking rules which are implemented using finite state machinery. They make use of both delayed disambiguation and the concept of tag underspecification as an ordered sequence of tags.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Science, Brandeis University, Waltham, MA, 02453, USA

    José M. Castaño & James Pustejovsky

Authors
  1. José M. Castaño
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  2. James Pustejovsky
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Editor information

Editors and Affiliations

  1. Language Research Service, CSC Scientific Computing Ltd., Finland

    Anssi Yli-Jyrä

  2. Palo Alto Research Center, Stanford University, P.O. Box, USA

    Lauri Karttunen

  3. Department of Mathematics and Turku Centre for Computer Science TUCS, University of Turku, 20014, Turku, Finland

    Juhani Karhumäki

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© 2006 Springer-Verlag Berlin Heidelberg

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Castaño, J.M., Pustejovsky, J. (2006). Tagging with Delayed Disambiguation. In: Yli-Jyrä, A., Karttunen, L., Karhumäki, J. (eds) Finite-State Methods and Natural Language Processing. FSMNLP 2005. Lecture Notes in Computer Science(), vol 4002. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11780885_28

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  • DOI: https://doi.org/10.1007/11780885_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-35467-3

  • Online ISBN: 978-3-540-35469-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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