ONYX: a system for the semantic analysis of clinical text

Authors:
Lee M. Christensen;Henk Harkema;Peter J. Haug;Jeannie Y. Irwin;Wendy W. Chapman
Affiliations:
University of Pittsburgh, Pittsburgh, PA;University of Pittsburgh, Pittsburgh, PA;University of Utah, Salt Lake City, Utah;University of Pittsburgh, Pittsburgh, PA;University of Pittsburgh, Pittsburgh, PA
Venue:
BioNLP '09 Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing
Year:
2009

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Abstract

This paper introduces ONYX, a sentence-level text analyzer that implements a number of innovative ideas in syntactic and semantic analysis. ONYX is being developed as part of a project that seeks to translate spoken dental examinations directly into chartable findings. ONYX integrates syntax and semantics to a high degree. It interprets sentences using a combination of probabilistic classifiers, graphical unification, and semantically annotated grammar rules. In this preliminary evaluation, ONYX shows inter-annotator agreement scores with humans of 86% for assigning semantic types to relevant words, 80% for inferring relevant concepts from words, and 76% for identifying relations between concepts.