Paper: Probabilistic Coreference In Information Extraction

ACL ID W97-0319
Title Probabilistic Coreference In Information Extraction
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 1997
Authors

Certain applications require that the out- put of an information extraction system be probabilistic, so that a downstream sys- tem can reliably.fuse the output with pos- sibly contradictory information from other sources. In this paper we consider the problem of assigning a probability distri- bution to alternative sets of coreference re- lationships 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.