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现代图书情报技术  2009, Vol. 25 Issue (11): 10-16     https://doi.org/10.11925/infotech.1003-3513.2009.11.03
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面向词汇知识库自动构建的概念术语关系识别
张巍  于洋  游宏梁
(中国国防科技信息中心 北京 100142)
Relation Identification Between Conceptual Terms for Automatic Construction of Lexical Knowledge Database
Zhang Wei   Yu Yang   You Hongliang
(China Defense Science and Technology Information Center, Beijing 100142, China)
全文: PDF (499 KB)  
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摘要 

提出一种面向概念词汇知识库自动构建的术语关系识别方法,着重研究概念词汇上下位关系的统计和词形规则特征,提出一个多特征融合的概念关系识别模型。实验结果表明该模型对同义关系和上下位关系的识别是有效的。

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张巍
关键词 上下位关系统计特征词形规则知识库自动构建    
Abstract

This paper proposes an approach to identify term relations for automatic construction of conceptual lexical database, and focuses on discovering statistical and morphological features of hypernym/hyponym relations between conceptual words. Then it puts forward a feature-mixed identification model. The result shows that the model is effective on identifying synonym, hypernym/hyponym relations.

Key wordsHypernym/hyponym relation    Statistical feature    Morphological rule    Automatic construction of knowledge database
收稿日期: 2009-09-22      出版日期: 2009-11-25
: 

TP301.6

 
通讯作者: 张巍     E-mail: wynnzh@gmail.com
作者简介: 张巍,于洋,游宏梁
引用本文:   
张巍,于洋,游宏梁. 面向词汇知识库自动构建的概念术语关系识别[J]. 现代图书情报技术, 2009, 25(11): 10-16.
Zhang Wei,Yu Yang,You Hongliang. Relation Identification Between Conceptual Terms for Automatic Construction of Lexical Knowledge Database. New Technology of Library and Information Service, 2009, 25(11): 10-16.
链接本文:  
https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.1003-3513.2009.11.03      或      https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/Y2009/V25/I11/10

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