Pronominal Anaphora Resolution using XML Tagged Documents

Allaoua Refoufi¹

¹Computer Science Department Faculty of Sciences, University of Serif, Algeria

Abstract

Anaphora resolution has become a major issue in NLP systems; in this work we propose a resolution approach in which texts are parsed by a definite clause grammar and then converted into an XML-tagged representation, where sentence elements are marked with discourse, syntactic, and semantic attributes. This extension was made primarily to test the viability of using XML tagged documents for anaphora resolution. The XML representation allows valuable text's enrichment with anaphoric information in an elegant and easy way. The system’s performance arises primarily from the integration of multiple knowledge sources in a modular architecture and uses constraints and preferences to select the antecedent. The developed system proposes to resolve pronominal anaphora, namely personal pronouns.

Keywords

• anaphora, constraints, preferences, XML, Definite Clause Grammars

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Cite this Article as Follows

Allaoua Refoufi. Pronominal Anaphora Resolution using XML Tagged Documents. International Conference on Human Machine Interaction 2014. Vol. 1. Chennai: Association of Scientists, Developers and Faculties, 2014. 52-59. Print.