title: Semantic analysis of medical free texts.
abstract: The semantic interpretation of natural language utterances is usually based on a large number of transformation rules which map syntactic structures (parse trees) onto some kind of meaning representation. However, those interpretation rules exhibit an insufficient degree of abstraction so that the scalability and portability of such natural language processing systems is hard to maintain. In this paper, we introduce an approach that is able to cope with a wide variety of semantic interpretation patterns in medical free texts by applying a small inventory of abstract semantic interpretation schemata. These schemata address generalized graph configurations within syntactic dependency parse trees, which abstract away from specific syntactic constructions.
authors.affiliation: Computational Linguistics Lab, Freiburg University, Germany.
authors.forename: M
authors.initials: M
authors.lastname: Romacker
authors.forename: U
authors.initials: U
authors.lastname: Hahn
authors.forename: S
authors.initials: S
authors.lastname: Schulz
authors.forename: R
authors.initials: R
authors.lastname: Klar
mesh_terms: D003196:Computer Graphics; D006801:Humans; D009323:Natural Language Processing; D012660:Semantics; D012984:Software; D009626:Terminology as Topic