Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
A shallow parser based on closed-class words to capture relations in biomedical text
Journal of Biomedical Informatics
Extracting causal knowledge from a medical database using graphical patterns
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
WordNet Nouns: Classes and Instances
Computational Linguistics
Artificial Intelligence in Medicine
ICCS'10 Proceedings of the 18th international conference on Conceptual structures: from information to intelligence
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This paper presents the general framework and the current results of a project that aims to develop a system for knowledge discovery and extraction from the texts of Electronic Health Records in Bulgarian language. The proposed hybrid approach integrates language technologies and conceptual processing. The system generates conceptual graphs encoding the patient case history, which contains templates for the patient's diseases, symptoms and treatments. We describe simple inference in the generated graphs resource bank. Some experiments and their evaluation are presented in the article.