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Neural sentence embedding models for semantic similarity estimation in the biomedical domain

BACKGROUND: Neural network based embedding models are receiving significant attention in the field of natural language processing due to their capability to effectively capture semantic information representing words, sentences or even larger text elements in low-dimensional vector space. While curr...

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Bibliografiske detaljer
Udgivet i:BMC Bioinformatics
Main Authors: Blagec, Kathrin, Xu, Hong, Agibetov, Asan, Samwald, Matthias
Format: Artigo
Sprog:Inglês
Udgivet: BioMed Central 2019
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6460644/
https://ncbi.nlm.nih.gov/pubmed/30975071
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-2789-2
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