Relation extraction based on CNN and Bi-LSTM

Relation extraction based on CNN and Bi-LSTM

Relation extraction aims to identify the entities in the Web text and extract the implicit relationships between entities in the text.Studies have shown that deep neural networks are feasible for relation extraction tasks and are superior to traditional methods.Most of the current relation extractio...

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Bibliographic Details
Main Author: Xiaobin ZHANG,Fucai CHEN,Ruiyang HUANG
Format: Article
Language:English
Published: POSTS&TELECOM PRESS Co., LTD 2018-09-01
Series:网络与信息安全学报
Subjects:
relation extraction
convolution neural networks
long short-term memory
attention mechanism
Online Access:http://www.infocomm-journal.com/cjnis/CN/10.11959/j.issn.2096-109x.2018074

Internet

http://www.infocomm-journal.com/cjnis/CN/10.11959/j.issn.2096-109x.2018074

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