Recognizing Referential Links: An Information Extraction Perspective

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dc.creatorKameyama, Megumi
dc.date1997-07-18
dc.date.accessioned2026-07-07T09:10:54Z
dc.date.available2026-07-07T09:10:54Z
dc.descriptionWe 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.
dc.description8 pages. a paper in the proceedings of the ACL/EACL'97 workshop on anaphora resolution
dc.identifierhttps://arxiv.org/abs/cmp-lg/9707009
dc.identifierhttp://arxiv.org/abs/cmp-lg/9707009
dc.identifierIn 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.
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/151497
dc.subjectComputation and Language
dc.titleRecognizing Referential Links: An Information Extraction Perspective
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