1) semantic relation extraction
语义关系抽取
1.
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
2.
The present feature vector based approach for semantic relation extraction can hardly be improved simply by mining new features.
语义关系抽取是信息抽取中的一个重要的研究领域。
3.
This paper presents a novel method of using bootstrapping for the task of weakly-supervised semantic relation extraction.
提出一种基于Bootstrapping的弱指导语义关系抽取方法。
2) Semantic Extraction
语义抽取
3) 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
4) relation extraction
关系抽取
1.
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
2.
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
5) interaction extraction
关系抽取
1.
Protein-Protein Interaction Extraction System Based on SVM and Link Parse;
基于SVM和链接分析的蛋白质关系抽取系统
2.
Research of protein-protein interaction extraction based on semi-supervised learning
基于半监督学习的蛋白质关系抽取研究
3.
This paper presents a method for protein-protein interaction extraction from biomedical literature using a support vector machine(SVM).
提出了一种基于支持向量机(SVM)的蛋白质(基因)交互作用关系抽取方法。
6) Semantic relation
语义关系
1.
It can be caused by multiple modifications and different semantic relations.
多层修饰结构、语义关系不同都可以引起歧义。
2.
Resource Description Framework(RDF) and RDF Schema(RDFS) were served as the base for semantic model construction to implement the formal description of semantic relationship.
语义模型的构建以资源描述框架和资源描述框架模式为基础,实现数据语义关系的形式化描述,以异构数据库数据到语义模型的两级映射方法为手段,保证数据的透明访问和模型本身良好的可扩展性。
3.
Through the analysis of the semantic relations within possessive construction, this article intends to point out that the possessive construction can indicate not only ownership or possession, but also category, measures and so on, and that understanding the semantic relations is of great importance to the mastery of possessive construction.
通过对名词所有格结构中语义关系的分析,指出所有格结构不仅表示"所有"或"领属",还表示类别、度量等,并指出了分析所有格结构中的语义关系对准确地理解和使用名词所有格的重要意义,说明了影响所有格结构理解的三个重要因素。
补充资料：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
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条