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. Contact: friedman.carol@dmi.columbia.edu 10.1093/bioinformatics/17.suppl\_1.S74
%0 Journal Article
%1 citeulike:160448
%A Friedman, Carol
%A Kra, Pauline
%A Yu, Hong
%A Krauthammer, Michael
%A Rzhetsky, Andrey
%C Computer Science Dept, Queens College CUNY, Flushing, NY, 11367, USA. friedman.carol@dmi.columbia.edu
%D 2001
%J Comput. Appl. Biosci.
%K CAT CAT-FULL CAT-REL-NLP CAT-REL-RULE CAT-REL-VERB GENIES MedLEE NLP extraction molecular pathways
%N suppl\_1
%P S74--82
%R 10.1093/bioinformatics/17.suppl\_1.S74
%T GENIES: a natural-language processing system for the extraction of molecular pathways from journal articles
%U http://dx.doi.org/10.1093/bioinformatics/17.suppl\_1.S74
%V 17
%X 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. Contact: friedman.carol@dmi.columbia.edu 10.1093/bioinformatics/17.suppl\_1.S74
@article{citeulike:160448,
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. Contact: friedman.carol@dmi.columbia.edu 10.1093/bioinformatics/17.suppl\_1.S74},
added-at = {2010-06-11T21:59:37.000+0200},
address = {Computer Science Dept, Queens College CUNY, Flushing, NY, 11367, USA. friedman.carol@dmi.columbia.edu},
author = {Friedman, Carol and Kra, Pauline and Yu, Hong and Krauthammer, Michael and Rzhetsky, Andrey},
biburl = {https://www.bibsonomy.org/bibtex/2aba1f36280100e7b7b1e536e5e1c4cd5/huiyangsfsu},
citeulike-article-id = {160448},
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citeulike-linkout-2 = {http://bioinformatics.oxfordjournals.org/content/17/suppl\_1/S74.full.pdf},
citeulike-linkout-3 = {http://bioinformatics.oxfordjournals.org/cgi/content/abstract/17/suppl\_1/S74},
citeulike-linkout-4 = {http://view.ncbi.nlm.nih.gov/pubmed/11472995},
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day = 1,
doi = {10.1093/bioinformatics/17.suppl\_1.S74},
interhash = {80230ac32cd80ab27aad5216cf65643a},
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issn = {1367-4803},
journal = {Comput. Appl. Biosci.},
keywords = {CAT CAT-FULL CAT-REL-NLP CAT-REL-RULE CAT-REL-VERB GENIES MedLEE NLP extraction molecular pathways},
month = {June},
number = {suppl\_1},
pages = {S74--82},
posted-at = {2007-09-28 15:15:37},
priority = {2},
timestamp = {2010-11-09T08:43:35.000+0100},
title = {GENIES: a natural-language processing system for the extraction of molecular pathways from journal articles},
url = {http://dx.doi.org/10.1093/bioinformatics/17.suppl\_1.S74},
volume = 17,
year = 2001
}