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A Chinese verb semantic feature dataset (CVFD).
Deng, Yaling; Li, Jiwen; Niu, Minglu; Wang, Ye; Fu, Wenlong; Gong, Yanzhu; Ding, Shuo; Li, Wenyi; He, Wei; Cao, Lihong.
Afiliación
  • Deng Y; State Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing, 100024, China.
  • Li J; Neuroscience and Intelligent Media Institute, Communication University of China, No.1 of Dingfuzhuang East Street, Chaoyang District, Beijing, China.
  • Niu M; State Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing, 100024, China.
  • Wang Y; Neuroscience and Intelligent Media Institute, Communication University of China, No.1 of Dingfuzhuang East Street, Chaoyang District, Beijing, China.
  • Fu W; State Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing, 100024, China.
  • Gong Y; Neuroscience and Intelligent Media Institute, Communication University of China, No.1 of Dingfuzhuang East Street, Chaoyang District, Beijing, China.
  • Ding S; State Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing, 100024, China. yewang@cuc.edu.cn.
  • Li W; Neuroscience and Intelligent Media Institute, Communication University of China, No.1 of Dingfuzhuang East Street, Chaoyang District, Beijing, China. yewang@cuc.edu.cn.
  • He W; State Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing, 100024, China.
  • Cao L; Neuroscience and Intelligent Media Institute, Communication University of China, No.1 of Dingfuzhuang East Street, Chaoyang District, Beijing, China.
Behav Res Methods ; 56(1): 342-361, 2024 Jan.
Article en En | MEDLINE | ID: mdl-36622559
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Semántica / Inteligencia Artificial Límite: Humans País/Región como asunto: Asia Idioma: En Revista: Behav Res Methods Asunto de la revista: CIENCIAS DO COMPORTAMENTO Año: 2024 Tipo del documento: Article País de afiliación: China
Texto completo
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Semántica / Inteligencia Artificial Límite: Humans País/Región como asunto: Asia Idioma: En Revista: Behav Res Methods Asunto de la revista: CIENCIAS DO COMPORTAMENTO Año: 2024 Tipo del documento: Article País de afiliación: China