| 基于混合特征的上下位关系验证方法 |
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| 引用本文： | 刘磊,曹存根.基于混合特征的上下位关系验证方法[J].计算机工程,2008,34(14):12-13. |
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| 作者姓名： | 刘磊 曹存根 |
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| 作者单位： | 1. 中国科学院计算技术研究所,北京,100080;中国科学院研究生院,北京,100080
2. 中国科学院计算技术研究所,北京,100080 |
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| 基金项目： | 国家自然科学基金
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国家重点基础研究发展计划(973计划) |
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| 摘 要： | 上下位关系的自动验证是知识获取中的一个关键问题。提出一种基于混合特征的迭代上下位关系验证方法，从语义、语境、空间结构角度，给出一组上下位关系特征，根据抽样数据分析，将所有特征转化为用于验证的产生式规则，利用这些规则对基于模式获取的上下位关系进行循环迭代验证。实验结果说明了该方法的有效性。
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| 关 键 词： | 上下位关系 关系获取 知识获取 上下位关系验证 |
| 修稿时间： | |
Hyponymy Relation Verification Method Based on Hybrid Features |
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| LIU Lei,CAO Cun-gen.Hyponymy Relation Verification Method Based on Hybrid Features[J].Computer Engineering,2008,34(14):12-13. |
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| Authors: | LIU Lei CAO Cun-gen |
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| Affiliation: | (1. Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100080; 2. Graduate University of Chinese Academy of Sciences, Beijing 100080) |
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| Abstract: | Automatic verification of hyponymy relations is a basic problem in knowledge acquisition from text. This paper presents an iterative method of hyponymy verification based on hybrid features. It initially acquires a set of hyponymy features based on semantic, context and space structure of hyponymy. These features are changed into a set of production rules. The candidate hyponymys using Chinese lexico-syntactic patterns from Chinese corpus is verified with multi-features production rules. Experimental results demonstrate good performance of the method. |
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| Keywords: | hyponymy relation relation acquisition knowledge acquisition hyponymy relation verification |
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