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

^*Corresponding author for this work

Beijing Institute of Technology

Research output: Contribution to journal › Conference article › peer-review

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.

Original language	English
Journal	NIST Special Publication
Publication status	Published - 2010
Event	19th Text REtrieval Conference, TREC 2010 - Gaithersburg, MD, United States Duration: 16 Nov 2010 → 19 Nov 2010

Cite this

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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",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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

Abstract

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