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International Conference on Intelligent Text Processing and Computational Linguistics

CICLing 2003: Computational Linguistics and Intelligent Text Processing pp 347–359Cite as

Classifying Functional Relations in Factotum via WordNet Hypernym Associations

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2588))

Abstract

This paper describes how to automatically classify the functional relations from the Factotum knowledge base via a statistical machine learning algorithm. This incorporates a method for inferring prepositional relation indicators from corpus data. It also uses lexical collocations (i.e., word associations) and class-based collocations based on the WordNet hypernym relations (i.e., is-subset-of). The result shows substantial improvement over a baseline approach.

Patrick Cassidy of Micra, Inc. kindly made Factotum available and provided valuable input on the paper. Michael O’Hara helped much with the proofreading. The first author is supported by a generous GAANN fellowship from the Department of Education. Some of the work used computing resources at NMSU made possible through MII Grants EIA-9810732 and EIA-0220590.

Factotum is based on the public domain version of Roget’s Thesaurus. The latter is freely available via Project Gutenberg (http://promo.net/pg), thanks to Micra, Inc.

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Author information

Authors and Affiliations

  1. Department of Computer Science, New Mexico State University, 88003, Las Cruces, NM

    Tom O’Hara

  2. Department of Computer Science, University of Pittsburgh, 15260, Pittsburgh, PA

    Janyce Wiebe

Authors
  1. Tom O’Hara
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  2. Janyce Wiebe
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Editor information

Editors and Affiliations

  1. Centro de Investigación en Computación (CIC), Instituto Politécnico Nacional (IPN), Col. Zacatenco, CP 07738, Mexico D.F., Mexico

    Alexander Gelbukh

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O’Hara, T., Wiebe, J. (2003). Classifying Functional Relations in Factotum via WordNet Hypernym Associations. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2003. Lecture Notes in Computer Science, vol 2588. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36456-0_36

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  • DOI: https://doi.org/10.1007/3-540-36456-0_36

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00532-2

  • Online ISBN: 978-3-540-36456-6

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