使用分类器识别概念属性

Proceedings of the ACL-SIGLEX Workshop on Deep Lexical Acquisition - DeepLA '05 Pub Date : 2005-06-30 DOI:10.3115/1631850.1631853

Massimo Poesio, Abdulrahman Almuhareb

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引用次数: 51

摘要

我们开发了一种新的概念属性分类和两个监督分类器，利用这种分类从Web中提取的候选属性中识别概念属性。我们的二元(属性/非属性)分类器达到了81.82%的准确率，而我们的五向分类器达到了80.35%。

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Identifying Concept Attributes Using a Classifier

We developed a novel classification of concept attributes and two supervised classifiers using this classification to identify concept attributes from candidate attributes extracted from the Web. Our binary (attribute / non-attribute) classifier achieves an accuracy of 81.82% whereas our 5-way classifier achieves 80.35%.

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来源期刊

Proceedings of the ACL-SIGLEX Workshop on Deep Lexical Acquisition - DeepLA '05

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