A study of structured clinical abstracts and the semantic classification of sentences

Authors:
Grace Y. Chung;Enrico Coiera
Affiliations:
University of New South Wales, Sydney, Australia;University of New South Wales, Sydney, Australia
Venue:
BioNLP '07 Proceedings of the Workshop on BioNLP 2007: Biological, Translational, and Clinical Language Processing
Year:
2007

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Abstract

This paper describes experiments in classifying sentences of medical abstracts into a number of semantic classes given by section headings in structured abstracts. Using conditional random fields, we obtain F-scores ranging from 0.72 to 0.97. By using a small set of sentences that appear under the PARTICIPANTS heading, we demonstrate that it is possible to recognize sentences that describe population characteristics of a study. We present a detailed study of the structure of abstracts of randomized clinical trials, and examine how sentences labeled under PARTICIPANTS could be used to summarize the population group.