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Exploiting Collective Hidden Structures in Webpage Titles for Open Domain Entity Extraction Wei Song†∗, Shiqi Zhao‡ , Chao Zhang‡ , Hua Wu‡ , Haifeng Wang‡ , Lizhen Liu† , Hanshi Wang† † College of Inf
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Document Date: 2015-05-15 11:16:42


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City

Beijing / Florence / /

Company

IMDb / Baidu Inc. / /

Country

Italy / China / /

Currency

USD / /

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Facility

Capital Normal University / Peking University / College of Information Engineering / /

IndustryTerm

electronic media / large scale web data / class processing / usersÿsearch / short food names / iterative algorithm / online encyclopedias / massive web / search result pages using predefined extracting rules / food / Web Conference Comcommonly / user search queries / web documents / search paradigm / potential applications / search interest / search engine query logs / search engines / web scale / structured web data / search engine user behaviors / search queries / natural language processing / mining / online encyclopedia / search engine / web search logs / concept extraction algorithm / efficient algorithms / web tables / /

Organization

Capital Normal University / Beijing / Beijing Municipal Natural Science Foundation / Peking University / National Natural Science Foundation of China / Artificial Intelligence / College of Information Engineering / Association for Computational Linguistics / /

Person

Wei Song / Ai / Haifeng Wang / Chao Zhang / Hua Wu / /

Position

extractor / rst author / author / Evaluating Entity Extractor / general information needs / /

ProgrammingLanguage

R / HTML / /

PublishedMedium

Computational Linguistics / /

Technology

efficient algorithms / search engine / HTML Algorithms / HTML / Needleman-Wunsch algorithm / Natural Language Processing / concept extraction algorithm / http / iterative algorithm / /

URL

http /

SocialTag