Enriching Wordnets with New Relations and with Event and Argument Structures (original) (raw)

Abstract

This paper argues that wordnets, being concept-based computational lexica, should include information on event and argument structures. This general approach is relevant both for allowing computational grammars to cope with a number of different lexical semantics phenomena, as well as for enabling inference applications to obtain finer-grained results. We also propose new relations in order to adequately model non explicit information and cross-part-of-speech relations.

The research reported in this paper has been partially supported by Instituto Camões, Fundação Calouste Gulbenkian, and Fundação para a Ciência e Tecnologia through the WordNet.PT, UniNet.PT, and COMPGRAM projects.

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Authors and Affiliations

  1. CLG – Group for the Computation of Lexical and Grammatical Knowledge, Center of Linguistics, University of Lisbon, Portugal
    Raquel Amaro, Rui Pedro Chaves, Palmira Marrafa & Sara Mendes
  2. Department of Linguistics of the Faculty of Arts, University of Lisbon, Portugal
    Palmira Marrafa

Authors

  1. Raquel Amaro
  2. Rui Pedro Chaves
  3. Palmira Marrafa
  4. Sara Mendes

Editor information

Editors and Affiliations

  1. National Polytechnic Institute, Center for Computing Research, 07738, Mexico City, México
    Alexander Gelbukh

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Amaro, R., Chaves, R.P., Marrafa, P., Mendes, S. (2006). Enriching Wordnets with New Relations and with Event and Argument Structures. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2006. Lecture Notes in Computer Science, vol 3878. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11671299\_3

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