Methodology to develop and evaluate a semantic representation for NLP.

Jeannie Y. Irwin, Henk Harkema, Lee M. Christensen, Titus Schleyer, Peter J. Haug, Wendy W. Chapman

Research output: Contribution to journalArticle

5 Scopus citations

Abstract

Natural language processing applications that extract information from text rely on semantic representations. The objective of this paper is to describe a methodology for creating a semantic representation for information that will be automatically extracted from textual clinical records. We illustrate two of the four steps of the methodology in this paper using the case study of encoding information from dictated dental exams: (1) develop an initial representation from a set of training documents and (2) iteratively evaluate and evolve the representation while developing annotation guidelines. Our approach for developing and evaluating a semantic representation is based on standard principles and approaches that are not dependent on any particular domain or type of semantic representation.

Original languageEnglish (US)
Pages (from-to)271-275
Number of pages5
JournalAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
Volume2009
StatePublished - 2009
Externally publishedYes

ASJC Scopus subject areas

  • Medicine(all)

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    Irwin, J. Y., Harkema, H., Christensen, L. M., Schleyer, T., Haug, P. J., & Chapman, W. W. (2009). Methodology to develop and evaluate a semantic representation for NLP. AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium, 2009, 271-275.