实体关系抽取,entity relation extraction
1)entity relation extraction实体关系抽取
1.Research on Kernel Based Entity Relation Extraction;基于核函数的命名实体关系抽取技术研究
英文短句/例句

1.Entity Relation Extraction is an important research field in Information Extraction.实体关系抽取是信息抽取领域中的重要研究课题。
2.Research on Kernel Based Entity Relation Extraction;基于核函数的命名实体关系抽取技术研究
3.Relation Extraction among Named Entities by Detecting Communities in Network Structure;基于网络抱团发现的命名实体关系抽取
4.Novel Kernel-based Approaches to Chinese Entity Relation Extraction基于核函数的中文实体关系抽取新方法
5.Entity Relation Extraction Method Based on SVM and Bootstrapping基于支持向量机与自扩展的实体关系抽取方法
6.Research of Named Entity Relation Extraction Method Based on Bootstrapping;基于种子自扩展的命名实体关系抽取方法的研究
7.The Research of Chinese Named Entity Recognition and Its Relation Extraction;中文命名实体识别及其关系抽取研究
8.Research on Semi-Supervised Semantic Relation Extraction between Named Entities;基于弱指导学习的实体间语义关系抽取研究
9.A Research for Semantic Relation Automatic Extraction among Named Entities in Chinese Professional Domain;汉语专业领域命名实体语义关系自动抽取研究
10.Research on Chinese Feature-based Semantic Relation Extraction between Named Entities基于特征向量的中文实体间语义关系抽取研究
11.Evaluating the Confidence of Relation Pattern in Information Extraction信息抽取中实体关系模式的可信度评估
12.Research on Tree Kernel-Based Entity Semantic Relation Extraction基于树核函数的实体语义关系抽取方法研究
13.Application of discourse analysis in entity semantic relation extraction语篇分析在实体语义关系抽取中的应用
14.Research on Tree Kernel-based Semantic Relation Extraction between Named Entities;基于树核函数的命名实体语义关系抽取方法的研究
15.Research on Chinese Named Entity Semantic Relation Extraction Based on Dependency Tree基于依存树的中文命名实体语义关系抽取的研究
16.Research on Tree Kernel-based Semantic Relation Extraction between Chinese Named Entities基于树核函数的中文实体语义关系抽取方法的研究
17.Research and Implementation of the Key Technologies of Ontology-Guided Object Information Extraction本体导向的对象信息抽取关键技术研究及实现
18.Automatic Domain-Ontology Relation Extraction from Semi-Structured Texts面向半结构化文本的领域本体关系抽取
相关短句/例句

Chinese relation extraction中文实体关系抽取
3)named entity relation extraction命名实体关系抽取
1.Based on the characteristics of the Chinese named entity relation extraction,features were selected and feature vectors were constructed in terms of Chinese morphological,grammar and semantics.根据中文命名实体关系抽取的特点,从中文的形态学、语法及语义等几个方面选取特征并构建特征向量,然后将符合特定实体关系模板的候选命名实体对抽取出来并分为正反例。
4)Semantic Relation Extraction between Named Entities命名实体间语义关系抽取
1.Research on Semantic Relation Extraction between Named Entities命名实体间语义关系抽取研究
5)Kernel-based Chinese Relation Extraction基于核函数的中文实体关系抽取
6)entity extraction实体抽取
1.L4D-An Effective Approach to Web Entity Extraction;L4D—一种有效的互联网实体抽取方法
延伸阅读

经济关系(见生产关系)经济关系(见生产关系)economical relation  1 ingji gU口nxj经济关系(eeonomieal relation)系。见生产关