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Semantic-Aided Anaphora Resolution in Large Corpora Development

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Advances in Natural Language Processing (EsTAL 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3230))

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Abstract

This paper presents a novel approach to the development of anaphoric annotation of large corpora based on the use of semantic information to help the annotation process. The anaphora annotation scheme has been developed from a multilingual point of view in order to annotate three corpora: one for Catalan, one for Basque and one for Spanish. An anaphora resolution system based on restrictions and preferences has been used to aid the manual annotation process. Together with morpho-syntactic information, the system exploits the semantic relation between the anaphora and its antecedent.

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Author information

Authors and Affiliations

  1. Departamento de Lenguajes y Sistemas Informáticos, University of Alicante, Spain

    Maximiliano Saiz-Noeda, Borja Navarro & Rubén Izquierdo

Authors
  1. Maximiliano Saiz-Noeda
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  2. Borja Navarro
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  3. Rubén Izquierdo
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Editor information

Editors and Affiliations

  1. Department of Software and Computing Systems, University of Alicante, Spain

    José Luis Vicedo

  2. Natural Language Processing and Information Systems Group, Department of Software and Computing Systems, University of Alicante, Spain

    Patricio Martínez-Barco

  3. Grupo de investigación del Procesamiento del Lenguaje y Sistemas de Información, Departamento de Lenguajes y Sistemas Informáticos, Universidad de Alicante, Alicante, Spain

    Rafael Muńoz

  4. Departamento de Lenguajes y Sistemas Informáticos, Carretera de San Vicente del Raspeig, Universidad de Alicante, 03690 San Vicente del Raspeig, Alicante, Spain

    Maximiliano Saiz Noeda

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Saiz-Noeda, M., Navarro, B., Izquierdo, R. (2004). Semantic-Aided Anaphora Resolution in Large Corpora Development. In: Vicedo, J.L., Martínez-Barco, P., Muńoz, R., Saiz Noeda, M. (eds) Advances in Natural Language Processing. EsTAL 2004. Lecture Notes in Computer Science(), vol 3230. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30228-5_28

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  • DOI: https://doi.org/10.1007/978-3-540-30228-5_28

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  • Print ISBN: 978-3-540-23498-2

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