1.
L4D-An Effective Approach to Web Entity Extraction;
L4D—一种有效的互联网实体抽取方法
2.
Research on Extraction of Web Data Entities Based on Domain Features
基于领域特征的Web数据实体抽取的研究
3.
Research on Application of Ontology in Named Entity Extraction
本体在名实体信息抽取中的应用研究
4.
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
5.
Research and Implementation a Wrapper for Web Data-Extraction Based on Ontology
基于本体的Web数据抽取Wrapper研究与实现
6.
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。
7.
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
8.
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
9.
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
10.
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
11.
Research and Implementation of Ontology-Based Web Information Extraction System;
基于本体的Web信息抽取系统的研究与实现
12.
Research on Extraction of Named Entity Translation Equivalents from Comparable Corpus
可比语料中命名实体翻译等价对抽取方法研究
13.
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
14.
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
15.
Research and Implementation of XML Semantic Information Extraction Based on Domain Ontology
基于领域本体的XML语义信息抽取的研究与实现
16.
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
17.
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
18.
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