一种基于大规模网络词典的词库构建方法

Kotaro Nakayama, T. Hara, S. Nishio
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引用次数: 49

摘要

基于网络的词典,如维基百科,在过去几年里在互联网用户中变得非常流行。网络词典的重要特点不仅是文章量巨大,而且还有超链接。超链接不仅提供页面之间的传递功能,还包含各种信息。本文提出了一种有效的方法来分析基于web的词典的链接结构,从而构建关联词库。我们已经将其应用于维基百科,这是一个庞大的基于网络的词典,具有密集的链接结构,作为语料库。我们开发了一个搜索引擎进行评估,然后进行了一些实验,将我们的方法与其他传统方法(如共现分析)进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Thesaurus Construction Method from Large ScaleWeb Dictionaries
Web-based dictionaries, such as Wikipedia, have become dramatically popular among the Internet users in past several years. The important characteristic of Web-based dictionary is not only the huge amount of articles, but also hyperlinks. Hyperlinks have various information more than just providing transfer function between pages. In this paper, we propose an efficient method to analyze the link structure of Web-based dictionaries to construct an association thesaurus. We have already applied it to Wikipedia, a huge scale Web-based dictionary which has a dense link structure, as a corpus. We developed a search engine for evaluation, then conducted a number of experiments to compare our method with other traditional methods such as cooccurrence analysis.
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