CASIA OpenIR  > 数字内容技术与服务研究中心  > 听觉模型与认知计算
Joint entity and relation extraction based on a hybrid neural network
Zheng, Suncong1; Hao, Yuexing1; Lu, Dongyuan2; Bao, Hongyun1; Xu, Jiaming1; Hao, Hongwei1; Xu, Bo1,3
Source PublicationNEUROCOMPUTING
2017-09-27
Volume257Issue:000Pages:59-66
SubtypeArticle
AbstractEntity and relation extraction is a task that combines detecting entity mentions and recognizing entities' semantic relationships from unstructured text. We propose a hybrid neural network model to extract entities and their relationships without any handcrafted features. The hybrid neural network contains a novel bidirectional encoder-decoder LSTM module (BiLSTM-ED) for entity extraction and a CNN module for relation classification. The contextual information of entities obtained in BiLSTM-ED further pass though to CNN module to improve the relation classification. We conduct experiments on the public dataset ACE05 (Automatic Content Extraction program) to verify the effectiveness of our method. The method we proposed achieves the state-of-the-art results on entity and relation extraction task. (C) 2017 Elsevier B.V. All rights reserved.
KeywordNeural Network Information Extraction Tagging Classification
WOS HeadingsScience & Technology ; Technology
DOI10.1016/j.neucom.2016.12.075
Indexed BySCI
Language英语
Funding OrganizationNational High Technology Research and Development Program of China (863 Program)(2015AA015402) ; Hundred Talents Program of Chinese Academy of Sciences(Y3S4011031) ; National Natural Science Foundation(71402178)
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000404319800007
Citation statistics
Cited Times:7[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/14343
Collection数字内容技术与服务研究中心_听觉模型与认知计算
Affiliation1.Chinese Acad Sci, Digital Content Technol Res Ctr, Inst Automat, Beijing, Peoples R China
2.Univ Int Business & Econ, Sch Informat Technol & Management, Beijing, Peoples R China
3.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Zheng, Suncong,Hao, Yuexing,Lu, Dongyuan,et al. Joint entity and relation extraction based on a hybrid neural network[J]. NEUROCOMPUTING,2017,257(000):59-66.
APA Zheng, Suncong.,Hao, Yuexing.,Lu, Dongyuan.,Bao, Hongyun.,Xu, Jiaming.,...&Xu, Bo.(2017).Joint entity and relation extraction based on a hybrid neural network.NEUROCOMPUTING,257(000),59-66.
MLA Zheng, Suncong,et al."Joint entity and relation extraction based on a hybrid neural network".NEUROCOMPUTING 257.000(2017):59-66.
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