Automatic extraction of semantic relations between medical entities: a rule based approach
Open Access
- 1 January 2011
- journal article
- Published by Springer Science and Business Media LLC in Journal of Biomedical Semantics
- Vol. 2 (Suppl 5), S4
- https://doi.org/10.1186/2041-1480-2-s5-s4
Abstract
Information extraction is a complex task which is necessary to develop high-precision information retrieval tools. In this paper, we present the platform MeTAE (Medical Texts Annotation and Exploration). MeTAE allows (i) to extract and annotate medical entities and relationships from medical texts and (ii) to explore semantically the produced RDF annotations.Keywords
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