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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Autors principals:	YI Shi-xiang, YIN Hong-peng, ZHENG Heng-yi
Format:	Artigo
Idioma:	Chinês
Publicat:	Science Press 2019-09-01
Col·lecció:	工程科学学报
Matèries:	trigger words bidirectional long short-term memory forward neural network security event contacted features
Accés en línia:	http://cje.ustb.edu.cn/article/doi/10.13374/j.issn2095-9389.2019.09.012
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