Vocabulary Expansion by Semantic Extraction of Medical Terms
نویسندگان
چکیده
Automatic methods for vocabulary expansion are valuable in supporting the development of terminological resources. Here, we evaluate two methods based on distributional semantics for extracting terms that belong to a certain semantic category. In a list of 1000 terms extracted from a corpus of Swedish medical text, the best method obtains a recall of 0.53 and 0.88, respectively, for identifying 90 terms that are known to belong to the semantic categories Medical Finding and Pharmaceutical Drug.
منابع مشابه
Extracting Clinical Findings from Swedish Health Record Text
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