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Anaphora Resolution through Dialogue Adjacency Pairs and Topics

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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

This paper shows an algorithm to relate noun phrase antecedents to 3rd person personal pronouns, possessive pronouns, demonstrative pronouns, and adjectival anaphora. This algorithm is based on the annotation scheme of dialogue structure within the combination of several kinds of knowledge (including lexical, morphological and syntactic knowledge).The algorithm has been applied to Spanish dialogues and its evaluation was carried out on a dialogue corpus. This corpus consist of 40 transcribed dialogues that are conversations between the telephone operator of a railway company and a user of the company. After this experiment a success rate of 73.8% was obtained in pronominal anaphora and 78.9% in adjectival anaphora. The implementation was performed using LPA Prolog.

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Author information

Authors and Affiliations

  1. Departmento de Lenguajes y Sistemas Informáticos, Universidad de Alicante, Carretera de San Vicente del Raspeig, Alicante, Spain

    M. Palomar & P. Martínez-Barco

Authors
  1. M. Palomar
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  2. P. Martínez-Barco
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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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Palomar, M., Martínez-Barco, P. (2000). Anaphora Resolution through Dialogue Adjacency Pairs and Topics. 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_18

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  • DOI: https://doi.org/10.1007/3-540-45154-4_18

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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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