Classification from full text: a comparison of canonical sections of scientific papers

Authors:
Gail Sinclair;Bonnie Webber
Affiliations:
University of Edinburgh;University of Edinburgh
Venue:
JNLPBA '04 Proceedings of the International Joint Workshop on Natural Language Processing in Biomedicine and its Applications
Year:
2004

Citing 0
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Abstract

The accelerating growth in biomedical literature has stimulated activity on automated classification of and information extraction from this literature. The work described here attempts to improve on an earlier classification study associating biological articles to GO codes. It demonstrates the need, under particular assumptions, for more access to full text articles and for the use of Part-of-Speech tagging.