Domain specific word embeddings for natural language processing in radiology

[Display omitted] •Radiopaedia can be used as a domain-specific corpus in radiology NLP tasks.•Domain specific embeddings offer comparable performance on analogy completion.•Domain specific embeddings did significantly better on multi-label classification.•The source code, embeddings, and analogy da...

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Veröffentlicht in:	Journal of biomedical informatics 2021-01, Vol.113, p.103665-103665, Article 103665
Hauptverfasser:	Chen, Timothy L., Emerling, Max, Chaudhari, Gunvant R., Chillakuru, Yeshwant R., Seo, Youngho, Vu, Thienkhai H., Sohn, Jae Ho
Format:	Artikel
Sprache:	eng
Schlagworte:	Analogy completion Computer Science Computer Science, Interdisciplinary Applications Life Sciences & Biomedicine Machine Learning Medical Informatics Multi-label classification Natural Language Processing Radiology Science & Technology Semantics Technology Unified Medical Language System Word embeddings
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