Information Systems and Technology (CGU)
Databases and Information Systems | Management Information Systems | Medicine and Health Sciences
Due to the recent explosion of information in the biomedical field, it is hard for a single researcher to review the complex network involving genes, proteins, and interactions. We are currently building GeneScene, a toolkit that will assist researchers in reviewing existing literature, and report on the first phase in our development effort: extracting the relevant information from medical abstracts. We are developing a medical parser that extracts information, fills basic prepositional-based templates, and combines the templates to capture the underlying sentence logic. We tested our parser on 50 unseen abstracts and found that it extracted 246 templates with a precision of 70%. In comparison with many other techniques, more information was extracted without sacrificing precision. Future improvement in precision will be achieved by correcting three categories of errors.
© 2002 Gondy Leroy and Hsinchun Chen
G. Leroy and H. Chen, "Filling Preposition-based Templates to Capture Information from Medical Abstracts," presented at the Pacific Symposium on Biocomputing (PSB), Kaua’i, pp 350-361, January 2002.