Format

Send to

Choose Destination
See comment in PubMed Commons below
Bioinformatics. 2001;17 Suppl 1:S74-82.

GENIES: a natural-language processing system for the extraction of molecular pathways from journal articles.

Author information

1
Computer Science Dept, Queens College CUNY, Flushing, NY, 11367, USA. friedman.carol@dmi.columbia.edu

Abstract

Systems that extract structured information from natural language passages have been highly successful in specialized domains. The time is opportune for developing analogous applications for molecular biology and genomics. We present a system, GENIES, that extracts and structures information about cellular pathways from the biological literature in accordance with a knowledge model that we developed earlier. We implemented GENIES by modifying an existing medical natural language processing system, MedLEE, and performed a preliminary evaluation study. Our results demonstrate the value of the underlying techniques for the purpose of acquiring valuable knowledge from biological journals.

PMID:
11472995
[Indexed for MEDLINE]
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Loading ...
    Support Center