Mining molecular binding terminology from biomedical text

Automatic access to information regarding macromolecular binding relationships would provide a valuable resource to the biomedical community. We report on a pilot project to mine such information from the molecular biology literature. The program being developed takes advantage of natural language p...

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Veröffentlicht in:Proceedings - AMIA Symposium 1999, p.127-131
Hauptverfasser: Rindflesch, T C, Hunter, L, Aronson, A R
Format: Artikel
Sprache:eng
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Zusammenfassung:Automatic access to information regarding macromolecular binding relationships would provide a valuable resource to the biomedical community. We report on a pilot project to mine such information from the molecular biology literature. The program being developed takes advantage of natural language processing techniques and is supported by two repositories of biomolecular knowledge. A formative evaluation has been conducted on a subset of MEDLINE abstracts.
ISSN:1531-605X