A multi-target stance detection based on Bi-LSTM network with position-weightOA
A multi-target stance detection based on Bi-LSTM network with position-weight
Xu Yilong;Li Wenfa;Wang Gongming;Huang Lingyun
Smart City College, Beijing Union University, Beijing 100101, P. R. ChinaCollege of Robotics, Beijing Union University, Beijing 100101, P. R. ChinaTianyuan Network Co. , Ltd. , Beijing 100193, P. R. ChinaBeijing Tianyuan Network Co. , Ltd. , Beijing 100193, P. R. China
long short-term memory ( LSTM )multi-targetnatural language processingstance detection
long short-term memory ( LSTM )multi-targetnatural language processingstance detection
《高技术通讯（英文版）》 2020 (4)
442-447,6
Supported by the National Natural Science Foundation of China(No.61972040),the Science and Technology Projects of Beijing Municipal Education Commission(No.KM201711417011),and the Premium Funding Project for Academic Human Resources Development in Beijing Union University(No.BPHR2020AZ03).
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