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dc.contributor.authorKano, Yoshinobu
dc.contributor.authorBjörne, Jari
dc.contributor.authorGinter, Filip
dc.contributor.authorSalakoski, Tapio
dc.contributor.authorBuyko, Ekaterina
dc.contributor.authorHahn, Udo
dc.contributor.authorCohen, Kevin Bretonnel
dc.contributor.authorVerspoor, Karin
dc.contributor.authorRoeder, Christophe
dc.contributor.authorHunter, Lawrence E.
dc.contributor.authorKilicoglu, Halil
dc.contributor.authorBergler, Sabine
dc.contributor.authorVan Landeghem, Sofie
dc.contributor.authorVan Parys, Thomas
dc.contributor.authorVan de Peer, Yves
dc.contributor.authorMiwa, Makoto
dc.contributor.authorAnaniadou, Sophia
dc.contributor.authorNeves, Mariana
dc.contributor.authorPascual-Montano, Alberto
dc.contributor.authorOzgur, Arzucan
dc.contributor.authorRadev, Dragomir R.
dc.contributor.authorRiedel, Sebastian
dc.contributor.authorSætre, Rune
dc.contributor.authorChun, Hong-Woo
dc.contributor.authorKim, Jin-Dong
dc.contributor.authorPyysalo, Sampo
dc.contributor.authorOhta, Tomoko
dc.contributor.authorTsujii, Jun'ichi
dc.date.accessioned2015-09-21T11:51:28Z
dc.date.accessioned2015-12-03T11:37:35Z
dc.date.available2015-09-21T11:51:28Z
dc.date.available2015-12-03T11:37:35Z
dc.date.issued2011
dc.identifier.citationBMC Bioinformatics 2011, 12:481-481nb_NO
dc.identifier.issn1471-2105
dc.identifier.urihttp://hdl.handle.net/11250/2366683
dc.description.abstractBackground: Bio-molecular event extraction from literature is recognized as an important task of bio text mining and, as such, many relevant systems have been developed and made available during the last decade. While such systems provide useful services individually, there is a need for a meta-service to enable comparison and ensemble of such services, offering optimal solutions for various purposes. Results: We have integrated nine event extraction systems in the U-Compare framework, making them intercompatible and interoperable with other U-Compare components. The U-Compare event meta-service provides various meta-level features for comparison and ensemble of multiple event extraction systems. Experimental results show that the performance improvements achieved by the ensemble are significant. Conclusions: While individual event extraction systems themselves provide useful features for bio text mining, the U-Compare meta-service is expected to improve the accessibility to the individual systems, and to enable metalevel uses over multiple event extraction systems such as comparison and ensemble.nb_NO
dc.language.isoengnb_NO
dc.publisherBioMed Centralnb_NO
dc.titleU-Compare bio-event meta-service: compatible BioNLP event extraction servicesnb_NO
dc.typeJournal articlenb_NO
dc.typePeer revieweden_GB
dc.date.updated2015-09-21T11:51:28Z
dc.source.volume12nb_NO
dc.source.journalBMC Bioinformaticsnb_NO
dc.identifier.doi10.1186/1471-2105-12-481
dc.identifier.cristin875920
dc.description.localcode© 2011 Kano et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.nb_NO


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