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Methodology to develop and evaluate a semantic representation for NLP.

Irwin, JY and Harkema, H and Christensen, LM and Schleyer, T and Haug, PJ and Chapman, WW (2009) Methodology to develop and evaluate a semantic representation for NLP. AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium, 2009. 271 - 275.

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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.


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Details

Item Type: Article
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Irwin, JY
Harkema, Hharkemah@pitt.eduHARKEMAH
Christensen, LM
Schleyer, Ttitus@pitt.eduTITUS0000-0003-1829-971X
Haug, PJ
Chapman, WW
Centers: Other Centers, Institutes, Offices, or Units > Center for Dental Informatics
Date: 1 January 2009
Date Type: Publication
Journal or Publication Title: AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
Volume: 2009
Page Range: 271 - 275
Schools and Programs: School of Dental Medicine > Dental Science
Refereed: Yes
MeSH Headings: Dental Records; Electronic Health Records; Evaluation Studies as Topic; Humans; Natural Language Processing; Semantics
Other ID: NLM PMC2815383
PubMed Central ID: PMC2815383
PubMed ID: 20351863
Date Deposited: 24 Sep 2012 20:46
Last Modified: 16 Feb 2019 15:55
URI: http://d-scholarship.pitt.edu/id/eprint/14385

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