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Public security event trigger identification based on Bidirectional LSTM

As the internet coverage continues to expand, obtaining valuable information from a large amount of fragmented semi-structured text data has become a huge challenge considering the vast amount of social public information. Event trigger identification technology can effectively mine and refine text...

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Main Authors: YI Shi-xiang, YIN Hong-peng, ZHENG Heng-yi
Format: Artigo
Language:Chinês
Published: Science Press 2019-09-01
Series:工程科学学报
Subjects:
trigger words
bidirectional long short-term memory
forward neural network
security event
contacted features
Online Access:http://cje.ustb.edu.cn/article/doi/10.13374/j.issn2095-9389.2019.09.012
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