3 documents found, page 1 of 1
Next generation community assessment of biomedical entity recognition web serve...
Pérez-Pérez, Martin; Pérez-Rodríguez, Gael; Blanco-Míguez, Aitor; Fdez-Riverola, Florentino; Valencia, Alfonso; Krallinger, Martin; Lourenço, AnáliaShared tasks and community challenges represent key instruments to promote research, collaboration and determine the state of the art of biomedical and chemical text mining technologies. Traditionally, such tasks relied on the comparison of automatically generated results against a so-called Gold Standard dataset of manually labelled textual data, regardless of efficiency and robustness of the underlying implem...
Evaluation of chemical and gene/protein entity recognition systems at BioCreati...
Pérez-Pérez, Martin; Rabal, Obdulia; Pérez-Rodríguez, Gael; Vazquez, Miguel; Fdez-Riverola, Florentino; Oyarzabal, Julen; Valencia, AlfonsoThis paper presents the results of the BioCreative V.5 offline tasks related to the evaluation of the performance as well as assess progress made by strategies used for the automatic recognition of mentions of chemical names and gene in running text of medicinal chemistry patent abstracts. A total of 21 teams submitted results for at least one of these tasks. The CEMP (chemical entity mention in patents) task e...
Benchmarking biomedical text mining web servers at BioCreative V.5: the technic...
Pérez-Pérez, Martin; Pérez-Rodríguez, Gael; Blanco-Míguez, Aitor; Fdez-Riverola, Florentino; Valencia, Alfonso; Krallinger, Martin; Lourenço, AnáliaThe TIPS track consisted in a novel experimental task under the umbrella of the BioCreative text mining challenges with the aim to, for the first time ever, carry out a text mining challenge with particular focus on the continuous assessment of technical aspects of text annotation web servers, specifically of biomedical online named entity recognition systems. A total of 13 teams registered annotation servers, ...