A pre-trained BERT for Korean medical natural language processing.

Kim, Yoojoong; Kim, Jong-Ho; Lee, Jeong Moon; Jang, Moon Joung; Yum, Yun Jin; Kim, Seongtae; Shin, Unsub; Kim, Young-Min; Joo, Hyung Joon; Song, Sanghoun

Kim, Yoojoong; Kim, Jong-Ho; Lee, Jeong Moon; Jang, Moon Joung; Yum, Yun Jin; Kim, Seongtae; Shin, Unsub; Kim, Young-Min; Joo, Hyung Joon; Song, Sanghoun.

Afiliação

Kim Y; School of Computer Science and Information Engineering, The Catholic University of Korea, Bucheon, Republic of Korea.
Kim JH; Korea University Research Institute for Medical Bigdata Science, Korea University, Seoul, Republic of Korea.
Lee JM; Department of Cardiology, Cardiovascular Center, Korea University College of Medicine, Seoul, Republic of Korea.
Jang MJ; Korea University Research Institute for Medical Bigdata Science, Korea University, Seoul, Republic of Korea.
Yum YJ; Korea University Research Institute for Medical Bigdata Science, Korea University, Seoul, Republic of Korea.
Kim S; Korea University Research Institute for Medical Bigdata Science, Korea University, Seoul, Republic of Korea.
Shin U; Department of Biostatistics, Korea University College of Medicine, Seoul, Republic of Korea.
Kim YM; Department of Linguistics, Korea University, Seoul, Republic of Korea.
Joo HJ; Department of Linguistics, Korea University, Seoul, Republic of Korea.
Song S; School of Interdisciplinary Industrial Studies, Hanyang University, Seoul, Republic of Korea.

Sci Rep ; 12(1): 13847, 2022 08 16.

Article em En | MEDLINE | ID: mdl-35974113

Assuntos

Idioma; Processamento de Linguagem Natural; Reconhecimento Psicológico; República da Coreia; Semântica

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Linguagem Natural / Idioma Tipo de estudo: Prognostic_studies País como assunto: Asia Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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