Joint entity and relation extraction based on a hybrid neural network | |
Zheng, Suncong1; Hao, Yuexing1; Lu, Dongyuan2; Bao, Hongyun1![]() ![]() | |
发表期刊 | NEUROCOMPUTING
![]() |
2017-09-27 | |
卷号 | 257期号:000页码:59-66 |
文章类型 | Article |
摘要 | 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. |
关键词 | Neural Network Information Extraction Tagging Classification |
WOS标题词 | Science & Technology ; Technology |
DOI | 10.1016/j.neucom.2016.12.075 |
收录类别 | SCI |
语种 | 英语 |
项目资助者 | 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研究方向 | Computer Science |
WOS类目 | Computer Science, Artificial Intelligence |
WOS记录号 | WOS:000404319800007 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/14343 |
专题 | 数字内容技术与服务研究中心_听觉模型与认知计算 |
作者单位 | 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 |
推荐引用方式 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. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
[17-NC] Joint Entity(1396KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论