Tuning up conceptual graph representation for multillingual natural language processing in medicine

摘要

Multilingual natural language processing (NLP), whether it concerns analysis or generation of sentences, requries a sound language-independent representation for grasping the deep meaning of narratives. The formalism of conceptual graphs (CGs), especially designed to cope with natural language semantics, constitutes a good repository for dealing with the compositionality and intricacies of medical language. This paper describes our experiment, as part of the European GALEN project, for exploiting a conceptual graph representation of medical language, pon which multilingual medical language processing is preformed.