Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Medical text processing: past achievements, future directions
Aspects of the computer-based patient record
Medical Language Processing: Computer Management of Narrative Data
Medical Language Processing: Computer Management of Narrative Data
A Reconstruction of Conceptual Graphs on Top of a Production System
Proceedings of the 7th Annual Workshop on Conceptual Structures: Theory and Implementation
Applying and improving the restriction grammar approach for Dutch patient discharge summaries
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 4
Automatic Acquisition of Morphological Knowledge for Medical Language Processing
AIMDM '99 Proceedings of the Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making
Dutch sublanguage semantic tagging combined with mark-up technology
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
A tagger/lemmatiser for Dutch medical language
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 2
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In this paper, we want to describe the architecture and some of the implementation issues of a large scale category guesser for Dutch medical vocabulary. We also provide numerical data on the precision and coverage of this category guesser, which has to cover for the moment only the vocabulary of the cardiology domain. The category guesser uses non-morphologic information (endstring matching) as well as truly morphologic knowledge (inflection, derivation and compounding). Since we deal with a sublanguage some linguistic features are easier to handle (Grishman and Kittredge, 1986), (Sager et al., 1987). Subsequently we will describe in detail the differents parts which interact to successfully identify unknown medical words.