文献
J-GLOBAL ID:201902274981206750
整理番号:19A1318645
弱教師付き意味類似性を用いた中国語放送ニュースの物語共セグメンテーション【JST・京大機械翻訳】
Story co-segmentation of Chinese broadcast news using weakly-supervised semantic similarity
著者 (8件):
Feng Wei
(School of Computer Science and Technology, College of Intelligence and Computing, Tianjin University, Tianjin, 300350, China)
,
Feng Wei
(Key Research Center for Surface Monitoring and Analysis of Cultural Relics, State Administration of Cultural Heritage, China)
,
Nie Xuecheng
(Department of Electrical and Computer Engineering, National University of Singapore, Singapore)
,
Zhang Yujun
(School of Computer Science and Technology, College of Intelligence and Computing, Tianjin University, Tianjin, 300350, China)
,
Zhang Yujun
(Key Research Center for Surface Monitoring and Analysis of Cultural Relics, State Administration of Cultural Heritage, China)
,
Liu Zhi-Qiang
(School of Creative Media, City University of Hong Kong, Hong Kong, China)
,
Dang Jianwu
(School of Computer Science and Technology, College of Intelligence and Computing, Tianjin University, Tianjin, 300350, China)
,
Dang Jianwu
(School of Information Science, Japan Advanced Institute of Science and Technology (JAIST), Japan)
資料名:
Neurocomputing
(Neurocomputing)
巻:
355
ページ:
121-133
発行年:
2019年
JST資料番号:
W0360A
ISSN:
0925-2312
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)