Mining the Web for Hyponymy Relations Based on Property Inheritance
Mining the Web for Hyponymy Relations Based on Property Inheritance
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DOI：
10.1007/978-3-540-78849-2_12
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发表时间：
2008-04
期刊：
影响因子：
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通讯作者：
Shun Hattori;H. Ohshima;S. Oyama;Katsumi Tanaka
中科院分区：
文献类型：
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作者：
Shun Hattori;H. Ohshima;S. Oyama;Katsumi Tanaka
概念层次结构，如上下义关系和部分义关系，在各种自然语言处理系统中非常重要。许多研究人员已经解决了如何挖掘非常大的语料库的文件，如网络为他们不是手动，而是自动的。然而，他们的方法大多是基于词汇句法模式作为概念层次的非必要条件而是充分条件，因此，当使用较严格的模式时，可以达到较高的准确率但较低的召回率;当使用较宽松的模式时，可以达到较高的召回率但较低的准确率。本文假设概念到下义词的属性继承是下义关系达到高查全率而不降低查准率的充分必要条件，并提出了一种基于属性继承的下义关系获取方法。
Concept hierarchies, such as hyponymy and meronymy relations, are very important for various natural language processing systems. Many researchers have tackled how to mine very large corpora of documents such as the Web for them not manually but automatically. However, their methods are mostly based on lexico-syntactic patterns as not necessary but sufficient conditions of concept hierarchies, so they can achieve high precision but low recall when using stricter patterns or they can achieve high recall but low precision when using looser patterns. In this paper, property inheritance from a concept to its hyponyms is assumed to be necessary and sufficient conditions of hyponymy relations to achieve high recall and not low precision, and we propose a method to acquire hyponymy relations from the Web based on property inheritance.