Extracting Molecular Binding Relationships from Biomedical Text

@inproceedings{Rindflesch2000ExtractingMB,
  title={Extracting Molecular Binding Relationships from Biomedical Text},
  author={T. Rindflesch and J. Rajan and L. Hunter},
  booktitle={ANLP},
  year={2000}
}
  • T. Rindflesch, J. Rajan, L. Hunter
  • Published in ANLP 2000
  • Computer Science
  • ARBITER is a Prolog program that extracts assertions about macromolecular binding relationships from biomedical text. We describe the domain knowledge and the underspecified linguistic analyses that support the identification of these predications. After discussing a formal evaluation of ARBITER, we report on its application to 491, 000 MEDLINE® abstracts, during which almost 25, 000 binding relationships suitable for entry into a database of macromolecular function were extracted. 
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    References

    SHOWING 1-10 OF 37 REFERENCES
    Mining molecular binding terminology from biomedical text
    • 92
    • PDF
    Automatic Extraction of Biological Information from Scientific Text: Protein-Protein Interactions
    • 483
    • PDF
    EDGAR: extraction of drugs, genes and relations from the biomedical literature.
    • 463
    • PDF
    Lexical methods for managing variation in biomedical terminologies.
    • 313
    Toward information extraction: identifying protein names from biological papers.
    • 572
    • PDF
    Constructing Biological Knowledge Bases by Extracting Information from Text Sources
    • 628
    • PDF
    Disambiguation of Proper Names in Text
    • 207
    • PDF
    Exploiting a Large Thesaurus for Information Retrieval
    • 121
    • PDF