Document Citation

Title:
Inferring Grant Support Types From Online Biomedical Articles.

Author(s):
Jongwoo Kim, Daniel X. Le, and George R. Thoma.

Institution(s):
1) National Library of Medicine, 8600 Rockville Pike, Bethesda, MD 20894, USA

Source:
The 22nd IEEE International Symposium on Computer-Based Medical System. Albuquerque, New Mexico. August 2009.

Abstract:
The category of institution or organization underwriting the research reported in a scientific article is a required field (Grant Support type) in the bibliographic record of that article in the MEDLINE® database. We describe a system based on a combination of a Naive Bayes classifier and heuristic rules that automatically infers the Grant Support types from article text. Testing the performance of the system on 2,000 biomedical articles shows Precision, Recall, and F-Measure exceeding 95%.

Publication Type: CONFERENCE

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