Recognizing Referential Links: An Information Extraction Perspective

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We present an efficient and robust reference resolution algorithm in an end-to-end state-of-the-art information extraction system, which must work with a considerably impoverished syntactic analysis of the input sentences. Considering this disadvantage, the basic setup to collect, filter, then order by salience does remarkably well with third-person pronouns, but needs more semantic and discourse information to improve the treatments of other expression types.
8 pages. a paper in the proceedings of the ACL/EACL'97 workshop on anaphora resolution

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Computation and Language

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http://salesiana.dossiersoluciones.com/handle/123456789/151497

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/cmp-lg/9707009
 http://arxiv.org/abs/cmp-lg/9707009
 In Mitkov, R. and B. Boguraev, eds., Proceedings of ACL/EACL Workshop on Operational Factors in Practical, Robust Anaphora Resolution for Unrestricted Texts, Madrid, July 1997, pages 46-53.

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arXiv