A Comparison of Word Embeddings for the Biomedical Natural Language Processing.

Journal of Biomedical Informatics(2018)

引用 403|浏览581
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摘要
•Word embeddings trained from clinical notes, literature, Wikipedia, and news are compared.•Word embeddings trained from clinical notes and literature capture word semantics better.•There isn’t a consistent global ranking of word embeddings for biomedical NLP applications.•Word embeddings trained from biomedical domain corpora do not necessarily perform better.
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关键词
Word embeddings,Natural language processing,Information extraction,Information retrieval,Machine learning
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