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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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Библиографические подробности
Опубликовано в: :BMC Bioinformatics
Главные авторы: Blagec, Kathrin, Xu, Hong, Agibetov, Asan, Samwald, Matthias
Формат: Artigo
Язык:Inglês
Опубликовано: BioMed Central 2019
Предметы:
Online-ссылка: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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