| 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
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| Source Publication | NEUROCOMPUTING
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| 2017-09-27 | |
| Volume | 257Issue:000Pages:59-66 |
| Subtype | Article |
| Abstract | Entity 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. |
| Keyword | Neural Network Information Extraction Tagging Classification |
| WOS Headings | Science & Technology ; Technology |
| DOI | 10.1016/j.neucom.2016.12.075 |
| Indexed By | SCI |
| Language | 英语 |
| Funding Organization | National 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 Area | Computer Science |
| WOS Subject | Computer Science, Artificial Intelligence |
| WOS ID | WOS:000404319800007 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://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 |
| Affiliation | 1.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. |
| Files in This Item: | Download All | |||||
| File Name/Size | DocType | Version | Access | License | ||
| [17-NC] Joint Entity（1396KB） | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | View Download | |
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