Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic indexing of documents from journal descriptors: a preliminary investigation
Journal of the American Society for Information Science
A probabilistic model of information retrieval: development and comparative experiments
Information Processing and Management: an International Journal
Journal of Biomedical Informatics - Special issue: Unified medical language system
Reflective random indexing for semi-automatic indexing of the biomedical literature
Journal of Biomedical Informatics
Passage retrieval based hidden knowledge discovery from biomedical literature
Expert Systems with Applications: An International Journal
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The shift from paper to electronic documents has caused the curation of information sources in large electronic databases to become more generalized. In the biomedical domain, continuing efforts aim at refining indexing tools to assist with the update and maintenance of databases such as MEDLINE®. In this paper, we evaluate two statistical methods of producing MeSH® indexing recommendations for the genetics literature, including recommendations involving subheadings, which is a novel application for the methods. We show that a generic representation of the documents yields both better precision and recall. We also find that a domain-specific representation of the documents can contribute to enhancing recall.