Automatic knowledge acquisition from medical texts.
- 1 January 1996
- journal article
- p. 383-7
Abstract
An approach to knowledge-based understanding of realistic texts from the medical domain (viz. findings of gastro-intestinal diseases) 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.This publication has 4 references indexed in Scilit:
- The galen projectComputer Methods and Programs in Biomedicine, 1994
- A Logical Foundation for Representation of Clinical DataJournal of the American Medical Informatics Association, 1994
- Natural Language Processing and the Representation of Clinical DataJournal of the American Medical Informatics Association, 1994
- Natural Language Processing and Semantical Representation of Medical TextsMethods of Information in Medicine, 1992