Reconstruct logical hierarchical sitemap for related entity finding

Qing Yang; Peng Jiang; Chunxia Zhang; Zhendong Niu

Reconstruct logical hierarchical sitemap for related entity finding

Qing Yang^*, Peng Jiang, Chunxia Zhang, Zhendong Niu

^*此作品的通讯作者

Beijing Institute of Technology

科研成果: 期刊稿件 › 会议文章 › 同行评审

摘要

This Paper presents the work done for the TREC 2010 entity track. We concentrate on constructing enriched anchor text model by exploiting hierarchical information presented in web pages to retrieve promising pages, and heuristic rules to extract potential candidate entities by zooming in the right section.

源语言	英语
期刊	NIST Special Publication
出版状态	已出版 - 2010
活动	19th Text REtrieval Conference, TREC 2010 - Gaithersburg, MD, 美国期限: 16 11月 2010 → 19 11月 2010

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Yang, Q., Jiang, P., Zhang, C., & Niu, Z. (2010). Reconstruct logical hierarchical sitemap for related entity finding. NIST Special Publication.

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title = "Reconstruct logical hierarchical sitemap for related entity finding",

abstract = "This Paper presents the work done for the TREC 2010 entity track. We concentrate on constructing enriched anchor text model by exploiting hierarchical information presented in web pages to retrieve promising pages, and heuristic rules to extract potential candidate entities by zooming in the right section.",

author = "Qing Yang and Peng Jiang and Chunxia Zhang and Zhendong Niu",

year = "2010",

language = "English",

journal = "NIST Special Publication",

issn = "1048-776X",

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note = "19th Text REtrieval Conference, TREC 2010 ; Conference date: 16-11-2010 Through 19-11-2010",

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TY - JOUR

T1 - Reconstruct logical hierarchical sitemap for related entity finding

AU - Yang, Qing

AU - Jiang, Peng

AU - Zhang, Chunxia

AU - Niu, Zhendong

PY - 2010

Y1 - 2010

N2 - This Paper presents the work done for the TREC 2010 entity track. We concentrate on constructing enriched anchor text model by exploiting hierarchical information presented in web pages to retrieve promising pages, and heuristic rules to extract potential candidate entities by zooming in the right section.

AB - This Paper presents the work done for the TREC 2010 entity track. We concentrate on constructing enriched anchor text model by exploiting hierarchical information presented in web pages to retrieve promising pages, and heuristic rules to extract potential candidate entities by zooming in the right section.

UR - http://www.scopus.com/inward/record.url?scp=84873443300&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:84873443300

SN - 1048-776X

JO - NIST Special Publication

JF - NIST Special Publication

T2 - 19th Text REtrieval Conference, TREC 2010

Y2 - 16 November 2010 through 19 November 2010

ER -

Reconstruct logical hierarchical sitemap for related entity finding

摘要

其它文件与链接

指纹

引用此