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The Impact of Pretrained Language Models on Negation and Speculation Detection in Cross-Lingual Medical Text: Comparative Study.

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第一作者： Renzo,Rivera Zavala

第一单位： Department of Computer Science and Engineering, Carlos III University of Madrid, Madrid, Spain.;Department of Computer Science and Engineering, Universidad Católica de Santa Maria, Arequipa, Peru.

作者： Renzo,Rivera Zavala ^[1] ; Paloma,Martinez ^[2]

作者单位： Department of Computer Science and Engineering, Carlos III University of Madrid, Madrid, Spain.;Department of Computer Science and Engineering, Universidad Católica de Santa Maria, Arequipa, Peru. ^[1] Department of Computer Science and Engineering, Carlos III University of Madrid, Madrid, Spain. ^[2]

关键词 clinical text contextual information deep learning long short-term memory natural language processing

DOI 10.2196/18953

PMID 33270027

发布时间 2020-12-22

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JMIR medical informatics

2020年8卷12期

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JMIR medical informatics

2020年8卷12期

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The Impact of Pretrained Language Models on Negation and Speculation Detection in Cross-Lingual Medical Text: Comparative Study.

JMIR medical informatics

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The Impact of Pretrained Language Models on Negation and Speculation Detection in Cross-Lingual Medical Text: Comparative Study.

JMIR medical informatics

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JMIR medical informatics

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