The MeSH-Gram Neural Network Model: Extending Word Embedding Vectors with MeSH Concepts for Semantic Similarity

Eliciting semantic similarity between concepts remains a challenging task. Recent approaches founded on embedding vectors have gained in popularity as they have risen to efficiently capture semantic relationships. The underlying idea is that two words that have close meaning gather similar contexts....

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Bibliographic Details
Published inStudies in health technology and informatics Vol. 264; p. 5
Main Authors Abdeddaïm, Saïd, Vimard, Sylvestre, Soualmia, Lina F
Format Journal Article
LanguageEnglish
Published Netherlands 21.08.2019
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