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 journalConference articlepeer-review

1 Citation (Scopus)


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 languageEnglish
JournalNIST Special Publication
Publication statusPublished - 2005
Externally publishedYes
Event14th Text REtrieval Conference, TREC 2005 - Gaithersburg, MD, United States
Duration: 2005 Nov 152005 Nov 18

ASJC Scopus subject areas

  • General Engineering


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