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

^*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

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.

源语言	英语
期刊	NIST Special Publication
出版状态	已出版 - 2009
活动	18th Text REtrieval Conference, TREC 2009 - Gaithersburg, MD, 美国期限: 17 11月 2009 → 20 11月 2009

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Yang, Q., Jiang, P., Zhang, C., & Niu, Z. (2009). Experiments on related entity finding track at TREC 2009. NIST Special Publication.

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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",

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T1 - Experiments on related entity finding track at TREC 2009

AU - Yang, Qing

AU - Jiang, Peng

AU - Zhang, Chunxia

AU - Niu, Zhendong

PY - 2009

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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

摘要

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