BioIE: extracting informative sentences from the biomedical literature.

by: A Divoli, TK Attwood

Bioinformatics, Vol. 21, No. 9. (1 May 2005), pp. 2138-2139.

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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/ CONTACT: divoli@bioinf.man.ac.uk.

@article{citeulike:177155, 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/ CONTACT: divoli@bioinf.man.ac.uk.}, address = {Faculty of Life Sciences and School of Computer Science, University of Manchester Manchester M13 9PT, UK.}, author = {Divoli, A. and Attwood, T. K. }, citeulike-article-id = {177155}, issn = {1367-4803}, journal = {Bioinformatics}, keywords = {bionlp}, month = {May}, number = {9}, pages = {2138--2139}, posted-at = {2007-12-17 18:00:26}, priority = {2}, title = {BioIE: extracting informative sentences from the biomedical literature.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/15691860}, volume = {21}, year = {2005} }

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TY - JOUR ID - citeulike:177155 L3 - citeulike-article-id:177155 N2 - 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/ CONTACT: divoli@bioinf.man.ac.uk. IS - 9 JF - Bioinformatics SN - 1367-4803 AD - Faculty of Life Sciences and School of Computer Science, University of Manchester Manchester M13 9PT, UK. EP - 2139 TI - BioIE: extracting informative sentences from the biomedical literature. VL - 21 SP - 2138 KW - bionlp AU - Divoli, A AU - Attwood, TK PY - 2005/05/01/ UR - http://view.ncbi.nlm.nih.gov/pubmed/15691860 ER -

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