Paper: Extraction of Disease-Treatment Semantic Relations from Biomedical Sentences

ACL ID W10-1912
Title Extraction of Disease-Treatment Semantic Relations from Biomedical Sentences
Venue Workshop on Biomedical Natural Language Processing
Session
Year 2010
Authors

This paper describes our study on identi- fying semantic relations that exist between diseases and treatments in biomedical sen- tences. We focus on three semantic rela- tions: Cure, Prevent, and Side Effect. The contributions of this paper consists in the fact that better results are obtained com- pared to previous studies and the fact that our research settings allow the integration of biomedical and medical knowledge. We obtain 98.55% F-measure for the Cure relation, 100% F-measure for the Prevent relation, and 88.89% F-measure for the Side Effect relation.