Assessment of NER solutions against the first and second CALBC Silver Standard Corpus

BACKGROUND: Competitions in text mining have been used to measure the performance of automatic text processing solutions against a manually annotated gold standard corpus (GSC). The preparation of the GSC is time-consuming and costly and the final corpus consists at the most of a few thousand docume...

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Autori principali: Rebholz-Schuhmann, Dietrich, Yepes, Antonio Jimeno, Li, Chen, Kafkas, Senay, Lewin, Ian, Kang, Ning, Corbett, Peter, Milward, David, Buyko, Ekaterina, Beisswanger, Elena, Hornbostel, Kerstin, Kouznetsov, Alexandre, Witte, René, Laurila, Jonas B, Baker, Christopher JO, Kuo, Cheng-Ju, Clematide, Simone, Rinaldi, Fabio, Farkas, Richárd, Móra, György, Hara, Kazuo, Furlong, Laura I, Rautschka, Michael, Neves, Mariana Lara, Pascual-Montano, Alberto, Wei, Qi, Collier, Nigel, Chowdhury, Md Faisal Mahbub, Lavelli, Alberto, Berlanga, Rafael, Morante, Roser, Van Asch, Vincent, Daelemans, Walter, Marina, José Luís, van Mulligen, Erik, Kors, Jan, Hahn, Udo
Natura: Artigo
Lingua:Inglês
Pubblicazione: BioMed Central 2011
Soggetti:
Research
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC3239301/
https://ncbi.nlm.nih.gov/pubmed/22166494
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/2041-1480-2-S5-S11
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