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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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3239301/
https://www.ncbi.nlm.nih.gov/pubmed/22166494
http://dx.doi.org/10.1186/2041-1480-2-S5-S11

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3239301/
https://www.ncbi.nlm.nih.gov/pubmed/22166494
http://dx.doi.org/10.1186/2041-1480-2-S5-S11

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