A neural network framework for relation extraction: Learning entity semantic and relation pattern

doi:10.1016/j.knosys.2016.09.019

CORC > 自动化研究所 > 中国科学院自动化研究所 > 数字内容技术与服务研究中心 > 听觉模型与认知计算

	A neural network framework for relation extraction: Learning entity semantic and relation pattern
	Zheng, Suncong; Xu, Jiaming; Zhou, Peng; Bao, Hongyun; Qi, Zhenyu; Xu, Bo; bao hongyun
刊名	KNOWLEDGE-BASED SYSTEMS
	2016-12-15
卷号	114 期号:1 页码:12-23
关键词	Relation Extraction Deep Neural Network Convolutional Neural Network Entity Embedding Keywords Extraction
DOI	10.1016/j.knosys.2016.09.019
文献子类	Article
英文摘要	Relation extraction is to identify the relationship of two given entities in the text. It is an important step in the task of knowledge extraction. Most conventional methods for the task of relation extraction focus on designing effective handcrafted features or learning a semantic representation of the whole sentence. Sentences with the same relationship always share the similar expressions. Besides, the semantic properties of given entities can also help to distinguish some confusing relations. Based on the above observations, we propose a neural network based framework for relation classification. It can simultaneously learn the relation pattern's information and the semantic properties of given entities. In this framework, we explore two specific models: the CNN-based model and LSTM-based model. We conduct experiments on two public datasets: the SemEval-2010 Task8 dataset and the ACE05 dataset. The proposed method achieves the state-of-the-art result without using any external information. Additionally, the experimental results also show that our approach can represent the semantic relationship of the given entities effectively. (C) 2016 Elsevier B.V. All rights reserved.
WOS研究方向	Computer Science
语种	英语
WOS记录号	WOS:000389396800002
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/40813]
专题	数字内容技术与服务研究中心_听觉模型与认知计算
通讯作者	bao hongyun
推荐引用方式 GB/T 7714	Zheng, Suncong,Xu, Jiaming,Zhou, Peng,et al. A neural network framework for relation extraction: Learning entity semantic and relation pattern[J]. KNOWLEDGE-BASED SYSTEMS,2016,114(1):12-23.
APA	Zheng, Suncong.,Xu, Jiaming.,Zhou, Peng.,Bao, Hongyun.,Qi, Zhenyu.,...&bao hongyun.(2016).A neural network framework for relation extraction: Learning entity semantic and relation pattern.KNOWLEDGE-BASED SYSTEMS,114(1),12-23.
MLA	Zheng, Suncong,et al."A neural network framework for relation extraction: Learning entity semantic and relation pattern".KNOWLEDGE-BASED SYSTEMS 114.1(2016):12-23.