Literature DB >> 15691860

BioIE: extracting informative sentences from the biomedical literature.

Anna Divoli1, Teresa K Attwood.   

Abstract

SUMMARY: BioIE is a rule-based system that extracts informative sentences relating to protein families, their structures, functions and diseases from the biomedical literaturE. Based on manual definition of templates and rules, it aims at precise sentence extraction rather than wide recall. After uploading source text or retrieving abstracts from MEDLINE, users can extract sentences based on predefined or user-defined template categories. BioIE also provides a brief insight into the syntactic and semantic context of the source-text by looking at word, N-gram and MeSH-term distributions. Important Applications of BioIE are in, for example, annotation of microarray data and of protein databases. AVAILABILITY: http://umber.sbs.man.ac.uk/dbbrowser/bioie/

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Year:  2005        PMID: 15691860     DOI: 10.1093/bioinformatics/bti296

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  8 in total

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4.  Discovering and visualizing indirect associations between biomedical concepts.

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5.  Applications of natural language processing in biodiversity science.

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6.  The High Throughput Sequence Annotation Service (HT-SAS) - the shortcut from sequence to true Medline words.

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7.  Anne O'Tate: A tool to support user-driven summarization, drill-down and browsing of PubMed search results.

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Review 8.  Linking genes to literature: text mining, information extraction, and retrieval applications for biology.

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Journal:  Genome Biol       Date:  2008-09-01       Impact factor: 13.583

  8 in total

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