Probabilistic Coreference in Information Extraction

Details Probabilistic Coreference in Information Extraction Probabilistic Coreference in Information Extraction

1997-06-10

arxiv.org/abs/cmp-lg/9706012v1

Proceedings of the Second Conference on Empirical Methods in NLP (EMNLP-2), August 1-2, 1997, Providence, RI

Computer Science

Computation and Language

LaTeX, 11 pages, requires aclap.sty

Scientific paper

Certain applications require that the output of an information extraction system be probabilistic, so that a downstream system can reliably fuse the output with possibly contradictory information from other sources. In this paper we consider the problem of assigning a probability distribution to alternative sets of coreference relationships among entity descriptions. We present the results of initial experiments with several approaches to estimating such distributions in an application using SRI's FASTUS information extraction system.

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