Extracting candidate terms from medical texts

Abstract

In this paper, we present a new method for the construction of domain ontology from texts in the medical field. In our method, NLP tools are not used since our goal is to reduce the amount of noise and the number of filters applied. This allows us to manage the control of semantic quality of Candidate Terms (CT). The proposed method is based on the… (More)
DOI: 10.1109/AICCSA.2013.6616486

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Cite this paper

@article{Bentounsi2013ExtractingCT, title={Extracting candidate terms from medical texts}, author={Imene Bentounsi and Zizette Boufa{\"{i}da}, journal={2013 ACS International Conference on Computer Systems and Applications (AICCSA)}, year={2013}, pages={1-4} }