Disambiguating personal names on the web using automatically extracted key phrases

Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuka

研究成果: Chapter

17 被引用数 (Scopus)

抄録

When you search for information regarding a particular person on the web, a search engine returns many pages. Some of these pages may be for people with the same name. How can we disambiguate these different people with the same name? This paper presents an unsupervised algorithm which produces unique phrases to disambiguate different people with the same name (i.e. namesakes). Our algorithm takes in a personal name and outputs multiple sets of phrases which uniquely identify the different namesakes on the web. These phrases could then be added to the query to narrow down the search to a specific namesake. We evaluated the algorithm on a collection of documents retreived from the Web. Experimental results show a significant improvement over the existing methods proposed for this task.

本文言語English
ホスト出版物のタイトルFrontiers in Artificial Intelligence and Applications
ページ553-557
ページ数5
141
出版ステータスPublished - 2006
外部発表はい

出版物シリーズ

名前Frontiers in Artificial Intelligence and Applications
141
ISSN(印刷版)09226389

ASJC Scopus subject areas

  • 人工知能

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