The logic of typed feature structures
The logic of typed feature structures
Medical Language Processing: Computer Management of Narrative Data
Medical Language Processing: Computer Management of Narrative Data
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Word Sense Disambiguation: Algorithms and Applications (Text, Speech and Language Technology)
Word Sense Disambiguation: Algorithms and Applications (Text, Speech and Language Technology)
An NP-cluster based approach to coreference resolution
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
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Artificial Intelligence in Medicine
Word sense disambiguation across two domains: Biomedical literature and clinical notes
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ConText: an algorithm for identifying contextual features from clinical text
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Statistical anaphora resolution in biomedical texts
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Domain Model for Medical Information Extraction--The LightMedOnt Ontology
Aspects of Natural Language Processing
Intelligent content extraction from polish medical reports
IMTCI'04 Proceedings of the Second international conference on Intelligent Media Technology for Communicative Intelligence
Guest Editorial: Current issues in biomedical text mining and natural language processing
Journal of Biomedical Informatics
EVTIMA: a system for IE from hospital patient records in Bulgarian
AIMSA'10 Proceedings of the 14th international conference on Artificial intelligence: methodology, systems, and applications
Design and evaluation of an ontology based information extraction system for radiological reports
Computers in Biology and Medicine
Towards morphologically annotated corpus of hospital discharge reports in Polish
BioNLP '11 Proceedings of BioNLP 2011 Workshop
Journal of Biomedical Informatics
Automatic semantic labeling of medical texts with feature structures
TSD'11 Proceedings of the 14th international conference on Text, speech and dialogue
Journal of Data and Information Quality (JDIQ)
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The paper describes a rule-based information extraction (IE) system developed for Polish medical texts. We present two applications designed to select data from medical documentation in Polish: mammography reports and hospital records of diabetic patients. First, we have designed a special ontology that subsequently had its concepts translated into two separate models, represented as typed feature structure (TFS) hierarchies, complying with the format required by the IE platform we adopted. Then, we used dedicated IE grammars to process documents and fill in templates provided by the models. In particular, in the grammars, we addressed such linguistic issues as: ambiguous keywords, negation, coordination or anaphoric expressions. Resolving some of these problems has been deferred to a post-processing phase where the extracted information is further grouped and structured into more complex templates. To this end, we defined special heuristic algorithms on the basis of sample data. The evaluation of the implemented procedures shows their usability for clinical data extraction tasks. For most of the evaluated templates, precision and recall well above 80% were obtained.