BioWordVec, improving biomedical word embeddings with subword information and MeSH

Distributed word representations have become an essential foundation for biomedical natural language processing (BioNLP), text mining and information retrieval. Word embeddings are traditionally computed at the word level from a large corpus of unlabeled text, ignoring the information present in the...

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Detalles Bibliográficos
Autores principales: Zhang, Yijia, Chen, Qingyu, Yang, Zhihao, Lin, Hongfei, Lu, Zhiyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6510737/
https://www.ncbi.nlm.nih.gov/pubmed/31076572
http://dx.doi.org/10.1038/s41597-019-0055-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6510737/
https://www.ncbi.nlm.nih.gov/pubmed/31076572
http://dx.doi.org/10.1038/s41597-019-0055-0

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