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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Published in | Studies in health technology and informatics Vol. 264; p. 5 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Netherlands
21.08.2019
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Subjects | |
Online Access | Get more information |
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