Allaoua Refoufi
Pronominal Anaphora Resolution Using XML Tagged Documents
Anaphora resolution has become a major issue in natural language processing 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 for French language texts.
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