Recognizing referential links: an information extraction perspective

Authors:
Megumi Kameyama
Affiliations:
Artificial Intelligence Center, SRI International, Menlo Park, CA
Venue:
ANARESOLUTION '97 Proceedings of a Workshop on Operational Factors in Practical, Robust Anaphora Resolution for Unrestricted Texts
Year:
1997

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Abstract

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.