Retrieval of biomedical documents by prioritizing key phrases

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

研究成果: 雜誌貢獻Conference article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 十二月 1
事件14th Text REtrieval Conference, TREC 2005 - Gaithersburg, MD, 美国
持續時間: 2005 十一月 152005 十一月 18

ASJC Scopus subject areas

  • Engineering(all)

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