Medical text processing: past achievements, future directions
Aspects of the computer-based patient record
Innovations in text interpretation
Artificial Intelligence - Special volume on natural language processing
A robust category guesser for Dutch medical language
ANLC '94 Proceedings of the fourth conference on Applied natural language processing
DILEMMA-2: a lemmatizer-tagger for medical abstracts
ANLC '92 Proceedings of the third conference on Applied natural language processing
A syntax-based part-of-speech analyser
EACL '95 Proceedings of the seventh conference on European chapter of the Association for Computational Linguistics
Syntactic analysis of natural language using linguistic rules and corpus-based patterns
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 1
Applying and improving the restriction grammar approach for Dutch patient discharge summaries
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 4
MULTITALE: linking medical concepts by means of frames
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 2
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In this paper, we want to describe a tagger/lemmatiser for Dutch medical vocabulary, which consists of a full-form dictionary and a morphological recogniser for unknown vocabulary coupled to an expert system-like disambiguation module. Attention is also paid to the main datastructures: a lexical database and feature bundles implemented as directed acyclic graphs. some evaluation results are presented as well. The tagger/lemmatiser currently functions as a lexical front-end for a syntactic parser. For pure tagging/lemmatising purposes, a reduced tagset (not suited for sentence analysis) can be used as well.