Identifying experimental techniques in biomedical literature

Authors:
Meeta Oberoi;Craig A. Struble;Sonia Sugg
Affiliations:
Marquette University, Milwaukee, WI;Marquette University, Milwaukee, WI;Medical College of Wisconsin, Milwaukee, WI
Venue:
BioNLP '06 Proceedings of the Workshop on Linking Natural Language Processing and Biology: Towards Deeper Biological Literature Analysis
Year:
2006

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

JNLPBA '04 Proceedings of the International Joint Workshop on Natural Language Processing in Biomedicine and its Applications

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Abstract

Named entity recognition of gene names, protein names, cell-lines, and other biologically relevant concepts has received significant attention by the research community. In this work, we considered named entity recognition of experimental techniques in biomedical articles. In our system to mine gene and disease associations, each association is categorized by the techniques used to derive the association. Categories are used to weight or remove associations, such as removing associations derived from microarray experiments.