title: Information extraction from Korean radiology reports mingled two language.
abstract: This study presents overall of Information Extraction (IE) for SNUH (Seoul National University Hospital) radiology reports coexisted Korean and English using Concept Node (CN) which is a case frame as extraction rule. The following steps are performed: design conceptual model by terminology exploration based on lexical analysis, create a CN definition based on syntactic relationship pattern and implement automatic IE system using CN. Main purposes is to investigate whether syntactic and semantic analysis technique using extraction rule (CN) is effective for typical Korean medical text in mixed two different languages.
authors.affiliation: Department of Biomedical Engineering, College of Medicine, Seoul National University.
authors.forename: Miyoung
authors.initials: M
authors.lastname: Kwak
authors.forename: Seungbin
authors.initials: S
authors.lastname: Han
authors.forename: Jinwook
authors.initials: J
authors.lastname: Choi
mesh_terms: D006801:Humans; D016247:Information Storage and Retrieval; D008037:Linguistics; D016347:Medical Records Systems, Computerized; D019303:Multilingualism; D011871:Radiology