Experiments on related entity finding track at TREC 2009

Qing Yang; Peng Jiang; Chunxia Zhang; Zhendong Niu

Experiments on related entity finding track at TREC 2009

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

Our goal in participating in the TREC 2009 Entity Track is to study whether QA list technique can help improve accuracy of the entity finding task. Also, we take a looking for homepage finding to identify homepages of an entity by training a maximum entropy classifier and a logistic regression models for three types of entity respectively.

Original language	English
Journal	NIST Special Publication
Publication status	Published - 2009
Event	18th Text REtrieval Conference, TREC 2009 - Gaithersburg, MD, United States Duration: 17 Nov 2009 → 20 Nov 2009

Cite this

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title = "Experiments on related entity finding track at TREC 2009",

abstract = "Our goal in participating in the TREC 2009 Entity Track is to study whether QA list technique can help improve accuracy of the entity finding task. Also, we take a looking for homepage finding to identify homepages of an entity by training a maximum entropy classifier and a logistic regression models for three types of entity respectively.",

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

year = "2009",

language = "English",

journal = "NIST Special Publication",

issn = "1048-776X",

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

note = "18th Text REtrieval Conference, TREC 2009 ; Conference date: 17-11-2009 Through 20-11-2009",

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TY - JOUR

T1 - Experiments on related entity finding track at TREC 2009

AU - Yang, Qing

AU - Jiang, Peng

AU - Zhang, Chunxia

AU - Niu, Zhendong

PY - 2009

Y1 - 2009

N2 - Our goal in participating in the TREC 2009 Entity Track is to study whether QA list technique can help improve accuracy of the entity finding task. Also, we take a looking for homepage finding to identify homepages of an entity by training a maximum entropy classifier and a logistic regression models for three types of entity respectively.

AB - Our goal in participating in the TREC 2009 Entity Track is to study whether QA list technique can help improve accuracy of the entity finding task. Also, we take a looking for homepage finding to identify homepages of an entity by training a maximum entropy classifier and a logistic regression models for three types of entity respectively.

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M3 - Conference article

AN - SCOPUS:84873482120

SN - 1048-776X

JO - NIST Special Publication

JF - NIST Special Publication

T2 - 18th Text REtrieval Conference, TREC 2009

Y2 - 17 November 2009 through 20 November 2009

ER -

Experiments on related entity finding track at TREC 2009

Abstract

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