北京信息科技大学 网络文化与数字传播北京市重点实验室 机构,北京,100101
Published:2014
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汤青, 吕学强, 李卓. 本体概念间上下位关系抽取研究[J]. 微电子学与计算机, 2014, 31(6): 68-71.
TANG Qing, LU: Xue-qiang, LI Zhuo. Research on Domain Ontology Concept Hyponymy Relation Extraction[J]. 2014, 31(6): 68-71.
汤青, 吕学强, 李卓. 本体概念间上下位关系抽取研究[J]. 微电子学与计算机, 2014, 31(6): 68-71. DOI:
TANG Qing, LU: Xue-qiang, LI Zhuo. Research on Domain Ontology Concept Hyponymy Relation Extraction[J]. 2014, 31(6): 68-71. DOI:
以匹配"是一个"模式的句子作为研究对象,提出了一种基于句法分析与规则匹配相结合的上下位关系抽取方法.针对结构复杂的句子中下位概念抽取困难的问题,借助句法分析的结果,给出了下位概念中心词的获取方法;结合中心词位置信息和概念边界信息,设计了合适的下位概念抽取规则.实验结果具有较高的准确率和召回率,证实了方法的有效性.
This paper proposes a hyponymy extraction method based on parsing and rule matching
using sentences that meeting "is-a" pattern as research subjects. To solve the problem that difficult to get hyponym from complex sentences
this paper presents a method to get center concept based on pasring result. According to the positon of center concept and hyponym boundaries
this paper designs a rule for hyponym extraction. Experiment result gets a higher accuracy rate and recall rate
confirming the validity of the method.
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