Retrieval of biomedical documents by prioritizing key phrases

Kevin Hsin Yih Lin; Wen Juan Hou; Hsin His Chen

Retrieval of biomedical documents by prioritizing key phrases

Kevin Hsin Yih Lin^*, Wen Juan Hou, Hsin His Chen

^*此作品的通信作者

研究成果: 雜誌貢獻 › 會議論文 › 同行評審

1 引文斯高帕斯（Scopus）

摘要

In this paper, we present an approach for retrieving relevant articles from the biomedical corpus. Our first run considered four kinds of operators as query expansion. The operators are phrase, mandatory, optional and synonym set. The second run lowered the ranking of documents which contained query terms only in their MeSH fields. The results of the official runs and further experiments were listed.

原文	英語
期刊	NIST Special Publication
出版狀態	已發佈 - 2005
對外發佈	是
事件	14th Text REtrieval Conference, TREC 2005 - Gaithersburg, MD, 美国持續時間: 2005 11月 15 → 2005 11月 18

ASJC Scopus subject areas

工程 (全部)

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引用此

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title = "Retrieval of biomedical documents by prioritizing key phrases",

abstract = "In this paper, we present an approach for retrieving relevant articles from the biomedical corpus. Our first run considered four kinds of operators as query expansion. The operators are phrase, mandatory, optional and synonym set. The second run lowered the ranking of documents which contained query terms only in their MeSH fields. The results of the official runs and further experiments were listed.",

author = "Lin, {Kevin Hsin Yih} and Hou, {Wen Juan} and Chen, {Hsin His}",

year = "2005",

language = "English",

journal = "NIST Special Publication",

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

note = "14th Text REtrieval Conference, TREC 2005 ; Conference date: 15-11-2005 Through 18-11-2005",

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TY - JOUR

T1 - Retrieval of biomedical documents by prioritizing key phrases

AU - Lin, Kevin Hsin Yih

AU - Hou, Wen Juan

AU - Chen, Hsin His

PY - 2005

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N2 - In this paper, we present an approach for retrieving relevant articles from the biomedical corpus. Our first run considered four kinds of operators as query expansion. The operators are phrase, mandatory, optional and synonym set. The second run lowered the ranking of documents which contained query terms only in their MeSH fields. The results of the official runs and further experiments were listed.

AB - In this paper, we present an approach for retrieving relevant articles from the biomedical corpus. Our first run considered four kinds of operators as query expansion. The operators are phrase, mandatory, optional and synonym set. The second run lowered the ranking of documents which contained query terms only in their MeSH fields. The results of the official runs and further experiments were listed.

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UR - http://www.scopus.com/inward/citedby.url?scp=84873536781&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:84873536781

SN - 1048-776X

JO - NIST Special Publication

JF - NIST Special Publication

T2 - 14th Text REtrieval Conference, TREC 2005

Y2 - 15 November 2005 through 18 November 2005

ER -

Retrieval of biomedical documents by prioritizing key phrases

摘要

ASJC Scopus subject areas

其它文件與鏈接

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