A Natural Language Understanding System for Knowledge-Based Analysis of Medical Texts
نویسندگان
چکیده
An approach to knowledge-based understanding of real-world texts from the medical domain (viz. gastro-intestinal findings) is presented. We survey major methodological features of an object-oriented, fully lexicalized, dependency-based grammar model which is tightly linked to domain knowledge representations based on description logics. The parser adheres to the principles of robustness, incrementality and concurrency. The substrate of automatic knowledge acquisition are text knowledge bases generated by the parser from medical narratives, which represent major portions of the content of these documents.
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