medSynDiKATe—a natural language system for the extraction of medical information from findings reports

This publication has 12 references indexed in Scilit:

• An integrated, dual learner for grammars and ontologies
  Data & Knowledge Engineering, 2002
• Medical knowledge reengineering—converting major portions of the UMLS into a terminological knowledge base
  International Journal of Medical Informatics, 2001
• Content management in the SYNDIKATE system – How technical documents are automatically transformed to text knowledge bases
  Data & Knowledge Engineering, 2000
• Discourse structures in medical reports—Watch out! The generation of referentially coherent and valid text knowledge bases in the medSYNDIKATE system
  International Journal of Medical Informatics, 1999
• How knowledge drives understanding—matching medical ontologies with the needs of medical language processing
  Artificial Intelligence in Medicine, 1998
• Information extraction: beyond document retrieval
  Journal of Documentation, 1998
• Information Retrieval: A Health Care Perspective
  Published by Springer Nature ,1996
• Concurrent, object-oriented natural language parsing: the ParseTalk model
  International Journal of Human-Computer Studies, 1994
• A General Natural-language Text Processor for Clinical Radiology
  Journal of the American Medical Informatics Association, 1994
• The KL-ONE family
  Computers & Mathematics with Applications, 1992