An algorithm for anaphora resolution in Spanish texts

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Title: An algorithm for anaphora resolution in Spanish texts
Authors: Palomar, Manuel | Ferrández, Antonio | Moreno Boronat, Lidia | Martínez-Barco, Patricio | Peral, Jesús | Saiz Noeda, Maximiliano | Muñoz, Rafael
Research Group/s: Procesamiento del Lenguaje Natural y Sistemas de Información
Center, Department or Service: Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos | Universidad Politécnica de Valencia. Departamento de Sistemas Informáticos y Computación
Keywords: Anaphora resolution | Natural language
Knowledge Area: Lenguajes y Sistemas Informáticos
Issue Date: Dec-2001
Publisher: MIT Press
Citation: PALOMAR SANZ, Manuel, et al. "An algorithm for anaphora resolution in Spanish texts". Computational Linguistics. Vol. 27, No. 4 (Dec. 2001). ISSN 0891-2017, pp. 545-567
Series/Report no.: 27 | 4
Abstract: This paper presents an algorithm for identifying noun phrase antecedents of third person personal pronouns, demonstrative pronouns, reflexive pronouns, and omitted pronouns (zero pronouns) in unrestricted Spanish texts. We define a list of constraints and preferences for different types of pronominal expressions, and we document in detail the importance of each kind of knowledge (lexical, morphological, syntactic, and statistical) in anaphora resolution for Spanish. The paper also provides a definition for syntactic conditions on Spanish NP-pronoun noncoreference using partial parsing. The algorithm has been evaluated on a corpus of 1,677 pronouns and achieved a success rate of 76.8%. We have also implemented four competitive algorithms and tested their performance in a blind evaluation on the same test corpus. This new approach could easily be extended to other languages such as English, Portuguese, Italian, or Japanese.
Sponsor: This work has been supported by the Spanish government (CICYT) with Grant TIC97-0671-C02-01/02.
ISSN: 0891-2017
DOI: 10.1162/089120101753342662
Language: eng
Type: info:eu-repo/semantics/article
Rights: © 2001 Association for Computational Linguistics
Peer Review: si
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