The vast amount of data published in the primary biomedical literature represents a challenge for the automated extraction and codification of individual data elements. Biological databases that rely solely on manual extraction by expert curators are unable to comprehensively annotate the information dispersed across the entire biomedical literature. The development of efficient tools based on natural language processing (NLP) systems is essential for the selection of relevant publications, identification of data attributes and partially automated annotation. One of the tasks of the Biocreative 2010 Challenge III was devoted to the evaluation of NLP systems developed to identify articles for curation and extraction of protein-protein interaction (PPI) data.

Chatr Aryamontri, A., Winter, A., Perfetto, L., Briganti, L., Licata, L., Iannuccelli, M., et al. (2011). Benchmarking of the 2010 BioCreative Challenge III text-mining competition by the BioGRID and MINT interaction databases. BMC BIOINFORMATICS, 12 Suppl 8, S8-S8 [10.1186/1471-2105-12-S8-S8].

Benchmarking of the 2010 BioCreative Challenge III text-mining competition by the BioGRID and MINT interaction databases

Licata, L;CASTAGNOLI, LUISA;CESARENI, GIOVANNI;
2011-10-03

Abstract

The vast amount of data published in the primary biomedical literature represents a challenge for the automated extraction and codification of individual data elements. Biological databases that rely solely on manual extraction by expert curators are unable to comprehensively annotate the information dispersed across the entire biomedical literature. The development of efficient tools based on natural language processing (NLP) systems is essential for the selection of relevant publications, identification of data attributes and partially automated annotation. One of the tasks of the Biocreative 2010 Challenge III was devoted to the evaluation of NLP systems developed to identify articles for curation and extraction of protein-protein interaction (PPI) data.
3-ott-2011
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore BIO/18 - GENETICA
English
Con Impact Factor ISI
Genes; Data Mining; Humans; Databases, Protein; Algorithms; Natural Language Processing
http://www.biomedcentral.com/1471-2105/12/S8/S8
Chatr Aryamontri, A., Winter, A., Perfetto, L., Briganti, L., Licata, L., Iannuccelli, M., et al. (2011). Benchmarking of the 2010 BioCreative Challenge III text-mining competition by the BioGRID and MINT interaction databases. BMC BIOINFORMATICS, 12 Suppl 8, S8-S8 [10.1186/1471-2105-12-S8-S8].
Chatr Aryamontri, A; Winter, A; Perfetto, L; Briganti, L; Licata, L; Iannuccelli, M; Castagnoli, L; Cesareni, G; Tyers, M
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/96329
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