BiolE: Extracting informative sentences from the biomedical literature

Anna Divoli; Teresa K. Attwood

doi:10.1093/bioinformatics/bti296

BiolE: Extracting informative sentences from the biomedical literature

Research output: Contribution to journal › Article › peer-review

Abstract

Summary: BiolE 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. BiolE 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 BiolE are in, for example, annotation of microarray data and of protein databases. © The Author 2005. Published by Oxford University Press. All rights reserved.

Original language	English
Pages (from-to)	2138-2139
Number of pages	1
Journal	Bioinformatics
Volume	21
Issue number	9
DOIs	https://doi.org/10.1093/bioinformatics/bti296
Publication status	Published - 1 May 2005

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title = "BiolE: Extracting informative sentences from the biomedical literature",

abstract = "Summary: BiolE 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. BiolE 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 BiolE are in, for example, annotation of microarray data and of protein databases. {\textcopyright} The Author 2005. Published by Oxford University Press. All rights reserved.",

author = "Anna Divoli and Attwood, {Teresa K.}",

year = "2005",

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AB - Summary: BiolE 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. BiolE 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 BiolE are in, for example, annotation of microarray data and of protein databases. © The Author 2005. Published by Oxford University Press. All rights reserved.

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BiolE: Extracting informative sentences from the biomedical literature

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