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Dataset Information

Next generation community assessment of biomedical entity recognition web servers: metrics, performance, interoperability aspects of BeCalm.


ABSTRACT:

Background

Shared 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 implementations. Due to the rapid growth of unstructured data collections, including patent databases and particularly the scientific literature, there is a pressing need to generate, assess and expose robust big data text mining solutions to semantically enrich documents in real time. To address this pressing need, a novel track called "Technical interoperability and pe

SUBMITTER: Perez-Perez M 

PROVIDER: S-EPMC6591930 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature