Literature Mining in Molecular Biology

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TypeArticle
Proceedings titleProceedings of the EFMI Workshop on Natural Language Processing in Biomedical Applications
ConferenceEFMI Workshop on Natural Language Processing in Biomedical Applications, March 8-9, 2002., Nicosia Cyprus
Pages15; # of pages: 5
AbstractLiterature mining is the process of extracting and combining facts from scientific publications. In recent years, many studies have resulted in computer programs to extract various molecular biology findings using Medline abstracts or full text articles. This article describes the range of techniques that have been applied in literature mining. In doing so, it divides automated reading into four general subtasks: text categorization, named entity tagging, fact extraction and collection-wide analysis. Special attention is given to the domain particularities of molecular biology.
Publication date
LanguageEnglish
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number45881
NPARC number8914293
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Record identifiera9514d78-a9a6-44ed-ac9a-d1e2ac13f1d6
Record created2009-04-22
Record modified2016-05-09
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