Coreference for NLP applications

Authors:
Thomas S. Morton
Affiliations:
University of Pennsylvania, Philadelphia, PA
Venue:
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Year:
2000

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Abstract

This paper presents several techniques for performing automatic coreference annotation and performance results for each of them. To demonstrate that they can be applied to real-world data, we have built a simple question-answering system which uses the techniques. A system using coreference is compared to a baseline system with the result that the addition of the coreference annotation improves performance.