title: Towards automatic extraction of research findings from the literature.
abstract: Most information extraction systems only process an article's title and abstract. However, a major source of research findings is an article's tables and figures. The aim of this study is to: (1) explore the efficacy of applying a hybrid information extraction system to the problem of identifying research findings in the scientific literature and (2) improve results by processing article title, abstract and table/figure text.
authors.affiliation: University of Ljubljana, Slovenia.
authors.forename: Dimitar
authors.initials: D
authors.lastname: Hristovski
authors.forename: Debra
authors.initials: D
authors.lastname: Revere
authors.forename: Paul
authors.initials: P
authors.lastname: Bugni
authors.forename: Sherrilynne
authors.initials: S
authors.lastname: Fuller
authors.forename: Carol
authors.initials: C
authors.lastname: Friedman
authors.forename: Thomas C
authors.initials: TC
authors.lastname: Rindflesch
mesh_terms: D035843:Biomedical Research; D016247:Information Storage and Retrieval / Q000379:methods*; D009323:Natural Language Processing; D011642:Publications