维基百科集:从多个词中获取上下文导向的相关实体

2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology Pub Date : 2011-08-22 DOI:10.1109/WI-IAT.2011.72

Masumi Shirakawa, Kotaro Nakayama, T. Hara, S. Nishio

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引用次数: 0

摘要

本文提出了一种从多个词中提取关联词(实体)的方法，该方法通过自然消歧词义并考虑其上下文来实现。此外，我们还引入了一种自举方法来提高关联关系的覆盖范围。实验结果表明，与基于esa的方法相比，我们的方法可以根据多个单词的上下文获取相关单词。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Wikipedia Sets: Context-Oriented Related Entity Acquisition from Multiple Words

In this paper, we propose a method which acquires related words (entities) from multiple words by naturally disambiguating their meaning and considering their contexts. In addition, we introduce a bootstrapping method for improving the coverage of association relations. Experimental result shows that our method can acquire related words depending on the contexts of multiple words compared to the ESA-based method.

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来源期刊

2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology

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