BioSumm: A novel summarizer oriented to biological information

Elena Baralis; Alessandro Fiori; Lorenzo Montrucchio

doi:10.1109/BIBE.2008.4696750

BioSumm: A novel summarizer oriented to biological information

Elena Baralis, Alessandro Fiori, Lorenzo Montrucchio

Istituto Oncologico Candiolo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The availability of increasingly wider repositories of biomedical and biological texts requires effective techniques to manage the huge mass of unstructured information there contained. The availability of ad-hoc document summaries, targeted to specific topics, may assist researchers in inferring previously undisclosed knowledge and in performing the biological validation of the results of data mining analysis. This paper presents BioSumm, a flexible framework which analyzes large collections of unclassified biomedical texts and produces ad-hoc summaries oriented to inferring knowledge of gene/protein relationships. Summary generation is driven by a novel grading function, which biases sentence selection by means of an appropriate domain dictionary.

Original language	English
Title of host publication	8th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2008
DOIs	https://doi.org/10.1109/BIBE.2008.4696750
Publication status	Published - 2008
Event	8th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2008 - Athens, Greece Duration: Oct 8 2008 → Oct 10 2008

Other

Other	8th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2008
Country/Territory	Greece
City	Athens
Period	10/8/08 → 10/10/08

ASJC Scopus subject areas

Biotechnology
Bioengineering

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10.1109/BIBE.2008.4696750

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title = "BioSumm: A novel summarizer oriented to biological information",

abstract = "The availability of increasingly wider repositories of biomedical and biological texts requires effective techniques to manage the huge mass of unstructured information there contained. The availability of ad-hoc document summaries, targeted to specific topics, may assist researchers in inferring previously undisclosed knowledge and in performing the biological validation of the results of data mining analysis. This paper presents BioSumm, a flexible framework which analyzes large collections of unclassified biomedical texts and produces ad-hoc summaries oriented to inferring knowledge of gene/protein relationships. Summary generation is driven by a novel grading function, which biases sentence selection by means of an appropriate domain dictionary.",

author = "Elena Baralis and Alessandro Fiori and Lorenzo Montrucchio",

year = "2008",

doi = "10.1109/BIBE.2008.4696750",

language = "English",

isbn = "9781424428458",

booktitle = "8th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2008",

note = "8th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2008 ; Conference date: 08-10-2008 Through 10-10-2008",

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T2 - 8th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2008

AU - Baralis, Elena

AU - Fiori, Alessandro

AU - Montrucchio, Lorenzo

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Y1 - 2008

N2 - The availability of increasingly wider repositories of biomedical and biological texts requires effective techniques to manage the huge mass of unstructured information there contained. The availability of ad-hoc document summaries, targeted to specific topics, may assist researchers in inferring previously undisclosed knowledge and in performing the biological validation of the results of data mining analysis. This paper presents BioSumm, a flexible framework which analyzes large collections of unclassified biomedical texts and produces ad-hoc summaries oriented to inferring knowledge of gene/protein relationships. Summary generation is driven by a novel grading function, which biases sentence selection by means of an appropriate domain dictionary.

AB - The availability of increasingly wider repositories of biomedical and biological texts requires effective techniques to manage the huge mass of unstructured information there contained. The availability of ad-hoc document summaries, targeted to specific topics, may assist researchers in inferring previously undisclosed knowledge and in performing the biological validation of the results of data mining analysis. This paper presents BioSumm, a flexible framework which analyzes large collections of unclassified biomedical texts and produces ad-hoc summaries oriented to inferring knowledge of gene/protein relationships. Summary generation is driven by a novel grading function, which biases sentence selection by means of an appropriate domain dictionary.

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DO - 10.1109/BIBE.2008.4696750

M3 - Conference contribution

AN - SCOPUS:67549142869

SN - 9781424428458

BT - 8th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2008

Y2 - 8 October 2008 through 10 October 2008

ER -

BioSumm: A novel summarizer oriented to biological information

Abstract

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