CORC  > 山东师范大学
An attention-based syntax-tree and tree-LSTM model for sentence summarization
Liu, Wenfeng[1,2]; Liu, Peiyu[1,3]; Yang, Yuzhen[2]; Gao, Yaling[4]; Yi, Jing[1,5]
2017
卷号13期号:5页码:775-782
URL标识查看原文
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/6600186
专题山东师范大学
作者单位1.[1] School of Information Science and Engineering, Shandong Normal University, Jinan, 250014, China
2.[2] Department of Computer and Information Engineering, Heze University, Heze, 274015, China
3.[3] Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology, Jinan, 250014, China
4.[4] Ruipu Peony Industrial Technology Development Co., Ltd, 274015, China
5.[5] School of Computer Science and Technology, Shandong Jianzhu University, Jinan, 250101, China
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GB/T 7714
Liu, Wenfeng[1,2],Liu, Peiyu[1,3],Yang, Yuzhen[2],et al. An attention-based syntax-tree and tree-LSTM model for sentence summarization[J],2017,13(5):775-782.
APA Liu, Wenfeng[1,2],Liu, Peiyu[1,3],Yang, Yuzhen[2],Gao, Yaling[4],&Yi, Jing[1,5].(2017).An attention-based syntax-tree and tree-LSTM model for sentence summarization.,13(5),775-782.
MLA Liu, Wenfeng[1,2],et al."An attention-based syntax-tree and tree-LSTM model for sentence summarization".13.5(2017):775-782.
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