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An Automated Method to Enrich Consumer Health Vocabularies Using GloVe Word Embeddings and An Auxiliary Lexical Resource
In this paper, we present an automatic method to enrich laymen's vocabularies that has the benefit of being able to be applied to vocabularies in any domain.
Diverse Group Formation Based on Multiple Demographic Features
Moreover, we introduce two diversity ranking algorithms that form a group by considering demographic features along with the minimum required skills.
Enriching Consumer Health Vocabulary Using Enhanced GloVe Word Embedding
These CHV terms mapped to 56000 professional concepts on the UMLS.
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