(1) Department of Medical Informatics and Clinical Epidemiology, School of Medicine Oregon Health & Science University, 3181 S.W. Sam Jackson Park Road, Mail Code: BICC Portland, Oregon 97239-3098, USA
Abstract:
Background
Text-mining can assist biomedical researchers in reducing information overload by extracting useful knowledge from large collections of text. We developed a novel text-mining method based on analyzing the network structure created by symbol co-occurrences as a way to extend the capabilities of knowledge extraction. The method was applied to the task of automatic gene and protein name synonym extraction.