TnT: a statistical part-of-speech tagger
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
Term extraction + term clustering: an integrated platform for computer-aided terminology
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
Using semantic components to facilitate access to domain-specific documents in government settings
dg.o '06 Proceedings of the 2006 international conference on Digital government research
Semantic components enhance retrieval of domain-specific documents
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Unsupervised Learning of Semantic Relations for Molecular Biology Ontologies
Proceedings of the 2008 conference on Ontology Learning and Population: Bridging the Gap between Text and Knowledge
Statistical term profiling for query pattern mining
BioNLP '08 Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing
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For an effective search and management of large amounts of medical image and patient data, it is relevant to know the kind of information the clinicians and radiologists seek for. This information is typically represented in their queries when searching for text and medical images about patients. Statistical clinical query pattern derivation described in this paper is an approach to obtain this information semi-automatically. It is based on predicting clinical query patterns given medical ontologies, domain corpora and statistical analysis. The patterns identified in this way are then compared to a corpus of clinical questions to identify possible overlaps between them and the actual questions. Additionally, they are discussed with the clinical experts. We describe our ontology driven clinical query pattern derivation approach, the comparison results with the clinical questions corpus and the evaluation by the radiology experts.