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

^*Corresponding author for this work

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

1 Citation (Scopus)

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.

Original language	English
Journal	NIST Special Publication
Publication status	Published - 2005
Externally published	Yes
Event	14th Text REtrieval Conference, TREC 2005 - Gaithersburg, MD, United States Duration: 2005 Nov 15 → 2005 Nov 18

ASJC Scopus subject areas

General Engineering

Cite this

@article{c823d55a661d4e3d87a8df4cdf436335,

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",

issn = "1048-776X",

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

Y1 - 2005

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

Abstract

ASJC Scopus subject areas

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