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  1. 124 情報理工学系研究科
  2. 40 電子情報学専攻
  3. 1244020 博士論文(電子情報学専攻)
  1. 0 資料タイプ別
  2. 20 学位論文
  3. 021 博士論文

A STUDY ON NAME DISAMBIGUATION USING WEB DIRECTORIES

https://doi.org/10.15083/00002414
129c4278-5a2f-4ca7-b96e-2799fafb48a2
名前 / ファイル ライセンス アクション
48057401.pdf 48057401.pdf (975.5 kB)
Item type 学位論文 / Thesis or Dissertation(1)
公開日 2012-03-01
タイトル
タイトル A STUDY ON NAME DISAMBIGUATION USING WEB DIRECTORIES
言語
言語 eng
キーワード
主題 Name disambiguation
主題Scheme Other
キーワード
主題 Web directories
主題Scheme Other
資源タイプ
資源 http://purl.org/coar/resource_type/c_46ec
タイプ thesis
ID登録
ID登録 10.15083/00002414
ID登録タイプ JaLC
その他のタイトル
その他のタイトル ウェブディレクトリを用いた人名の曖昧性解消に関する研究
著者 Vu, Quang Minh

× Vu, Quang Minh

WEKO 6675

Vu, Quang Minh

Search repository
著者別名
識別子
識別子 6676
識別子Scheme WEKO
姓名
姓名 ヴー, クァン ミン
著者所属
著者所属 大学院情報理工学系研究科電子情報学専攻
著者所属
著者所属 Graduate School of Information Science and Technology Department of Information and Communication Engineering The University of Tokyo
Abstract
内容記述タイプ Abstract
内容記述 In the current World Wide Web, information is increasing explosively. To search for valuable information from this huge database are increasing needs from users. Search engines are playing as gateways for users to acquire useful information. Among requests of users to search engines, a certain amount of requests are to search for information related to people. However, since a personal name is often shared by several people, search results for a personal name query tend to contain documents relevant to several people. In our research, we tried to disambiguate names of people in the results from search engines. We proposed to use web directories as additional information to improve the disambiguation performance. We used information from web directories to improve the extraction of contexts related to people in documents and to improve the name disambiguation performance. We carried experiments with several well known web directories to disambiguate real documents containing ambiguous names. The experiment results showed that our approaches extracted contexts of people effectively and performed better than other approaches that used the vector space model method and the named entity recognition method.
書誌情報 発行日 2008-03
日本十進分類法
主題 548
主題Scheme NDC
学位名
学位名 博士(情報理工学)
学位
値 doctoral
学位分野
Information Science and Technology (情報理工学)
学位授与機関
学位授与機関名
学位授与機関名 University of Tokyo (東京大学)
研究科・専攻
Department of Information and Communication Engineering, Graduate School of Information Science and Technology (情報理工学系研究科電子情報学専攻)
学位授与年月日
学位授与年月日 2008-03-24
学位授与番号
学位授与番号 甲第23941号
学位記番号
博情第186号
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