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Beyond genes, proteins, and abstracts: Identifying scientific claims from full-text biomedical articles.

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Beyond genes, proteins, and abstracts: Identifying scientific claims from full-text biomedical articles. J Biomed Inform. 2009 Nov 6; Authors: Blake C Massive increases in electronically available text have spurred a variety of natural language processing methods to automatically identify relationships from text; however, existing annotated collections comprise only bioinformatics (gene-protein) or clinical informatics (treatment-disease) relationships. This paper introduces the Claim Framework that reflects how authors across biomedical spectrum communicate findings in empirical studies. The Framework captures different levels of evidence by differentiating between explicit and implicit claims, and by capturing underspecified claims such as correlations, comparisons, and observations. The results ...
Mentions: University of Illinois BMC Bioinformatics Suppl