A system for coreference resolution for the clinical narrative

TitleA system for coreference resolution for the clinical narrative
Publication TypeJournal Article
Year of Publication2012
AuthorsZheng, J., W. W. Chapman, T. A. Miller, C. Lin, R. S. Crowley, and G. K. Savova
JournalJournal of the American Medical Informatics Association
KeywordsCoreference Resolution
Abstract

Objective To research computational methods for coreference resolution in the clinical narrative and build a system implementing the best methods.
Methods The Ontology Development and Information Extraction corpus annotated for coreference relations consists of 7214 coreferential markables, forming 5992 pairs and 1304 chains. We trained classifiers with semantic, syntactic, and surface features pruned by feature selection.
Discussion The application showed good performance similar to performance on general English text. The main error source was sentence distances exceeding a window of 10 sentences between markables. A possible solution to this problem is hinted at by the fact that coreferent markables sometimes occurred in predictable (although distant) note sections. Another system limitation is failure to fully utilize synonymy and ontological knowledge. Future work will investigate additional ways to incorporate syntactic features into the coreference problem.

Conclusion We investigated computational methods for coreference resolution in the clinical narrative. The best methods are released as modules of the open source Clinical Text Analysis and Knowledge Extraction System and Ontology Development and Information Extraction platforms.

URLhttp://jamia.bmj.com/content/early/2012/01/31/amiajnl-2011-000599.abstract