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Semantic Knowledge-Driven Method to Solve Pronominal Anaphora in Spanish Texts

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Natural Language Processing — NLP 2000 (NLP 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1835))

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Abstract

Tendencies in Natural Language Processing (NLP) systems go towards the study of the semantic knowledge that can be extracted from the words within a context. For this reason, semantic information addition is necessary for the definition of new NLP strategies.

In this paper, a method oriented to pronominal anaphora resolution in Spanish is presented. This method is based on two ontologies, On and Ov, that define semantic concept branches for nouns and verbs respectively. Also, the method uses two relation sets in order to solve the anaphora. These sets are formed by semantic patterns that define the compatibility between a subject and its verb and verb and its complement, using the ontological concepts of their heads.

The semantic behaviour provided by these patterns allows the identification of the noun phrase antecedents of a Spanish personal pronoun. This antecedent has the best compatibility ratio among all proposed antecedents of the anaphoric pronoun. This compatibility ratio is measured using the relation level between concepts in the ontological branch of each pair member.

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Author information

Authors and Affiliations

  1. Departamento de Lenguajes y Sistemas Informáticos, Universidad de Alicante, Apdo. 99, 03080, Alicante, Spain

    Maximiliano Saiz-Noeda & Manuel Palomar

Authors
  1. Maximiliano Saiz-Noeda
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  2. Manuel Palomar
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Editor information

Editors and Affiliations

  1. Computer Engineering Department and Computer Technology Institute, University of Patras, 26500, Patras, Greece

    Dimitris N. Christodoulakis

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© 2000 Springer-Verlag Berlin Heidelberg

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Saiz-Noeda, M., Palomar, M. (2000). Semantic Knowledge-Driven Method to Solve Pronominal Anaphora in Spanish Texts. In: Christodoulakis, D.N. (eds) Natural Language Processing — NLP 2000. NLP 2000. Lecture Notes in Computer Science(), vol 1835. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45154-4_19

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  • DOI: https://doi.org/10.1007/3-540-45154-4_19

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67605-8

  • Online ISBN: 978-3-540-45154-9

  • eBook Packages: Springer Book Archive

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