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A multi-target stance detection based on Bi-LSTM network with position-weight

Xu Yilong Li Wenfa Wang Gongming Huang Lingyun

高技术通讯（英文版）2020，Vol.26Issue(4)：442-447,6.

高技术通讯（英文版）2020，Vol.26Issue(4)：442-447,6.DOI:10.3772/j.issn.1006-6748.2020.04.012

A multi-target stance detection based on Bi-LSTM network with position-weight

Xu Yilong ¹Li Wenfa ²Wang Gongming ³Huang Lingyun⁴

作者信息

1. Smart City College, Beijing Union University, Beijing 100101, P. R. China
2. College of Robotics, Beijing Union University, Beijing 100101, P. R. China
3. Tianyuan Network Co. , Ltd. , Beijing 100193, P. R. China
4. Beijing Tianyuan Network Co. , Ltd. , Beijing 100193, P. R. China
折叠

摘要

关键词

long short-term memory ( LSTM )/multi-target/natural language processing/stance detection

Key words

long short-term memory ( LSTM )/multi-target/natural language processing/stance detection

引用本文复制引用

Xu Yilong,Li Wenfa,Wang Gongming,Huang Lingyun..A multi-target stance detection based on Bi-LSTM network with position-weight[J].高技术通讯（英文版）,2020,26(4):442-447,6.

基金项目

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). （No.61972040）

高技术通讯（英文版）

OAEI

ISSN：1006-6748

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