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Documents (16,955,457)

PubMed 14.3 M
PMC 2.41 M
GrayAnatomy 75

Projects (606)

Manual Automatic Sum
Released 42 31 73
Beta 9 17 26
Developing 108 94 202
Testing 88 81 171
N/S 62 60 122
Sum 317 287 606

Collections (60)

Name Description # proj. Updated at
GlyCosmos15 Collection of annotations to the abstracts from the following journals: Analytical_Chemistry Biochim_Biophys_Acta Carbohydrate_Research Cell Glycobiology Glycoconjugate_Journal J_Am_Chem_Soc Journal_of_Biological_Chemistry Journal_of_Proteome_Research Journal_of_Proteomics Molecular_and_Cellular_Proteomics Nature_Biotechnology Nature_Communications Nature_Methods Scientific_Reports 9 2024-12-19
Lectin-Jamboree 2 2024-12-19
wangzhuo19_800_3 1 2024-08-29
yaoziqian_800_3 1 2024-08-28
maxiaofeng52_800_2 1 2024-08-28
Linmchun_800 1 2024-08-28
luoyt2021_800_3 1 2024-08-27
Zierdiyeerkenaili_800_3 1 2024-08-27
luoyt2021_800 1 2024-08-27
chenxin_473849_800_2 1 2024-08-27

Shared Tasks (14)

Name Description Updated at
DPCIRCT 2024-08-20
NeuroBridge Test 2021-05-13
LASIGE: Annotating a multilingual COVID-19-related corpus for BLAH7 The global motivation is the creation of parallel multilingual datasets for text mining systems in COVID-19-related literature. Tracking the most recent advances in the COVID-19-related research is essential given the novelty of the disease and its impact on society. Still, the pace of publication requires automatic approaches to access and organize the knowledge that keeps being produced every day. It is necessary to develop text mining pipelines to assist in that task, which is only possible with evaluation datasets. However, there is a lack of COVID-19-related datasets, even more, if considering other languages besides English. The expected contribution of the project will be the annotation of a multilingual parallel dataset (EN-PT), providing this resource to the community to improve the text mining research on COVID-19-related literature. 2021-02-17
bionlp-ost-19-SeeDev-binary SeeDev-binary subtask of the SeeDev task proposed at BioNLP-OST 2019. SeeDev-binary is a binary relation extraction task. Homepage of SeeDev: https://sites.google.com/view/seedev2019/home 2020-02-07
bionlp-ost-19-BB-kb-ner BB-kb+ner subtask of the Bacteria Biotope task proposed at BioNLP-OST 2019. BB-kb+ner is an entity recognition, normalization and relation extraction task. Homepage of Bacteria Biotope: https://sites.google.com/view/bb-2019/home 2020-02-07
bionlp-ost-19-BB-kb BB-kb subtask of the Bacteria Biotope task proposed at BioNLP-OST 2019. BB-kb is an entity normalization and relation extraction task. Homepage of Bacteria Biotope: https://sites.google.com/view/bb-2019/home 2020-02-07
bionlp-ost-19-BB-rel-ner BB-rel+ner subtask of the Bacteria Biotope task proposed at BioNLP-OST 2019. BB-rel+ner is an entity recognition and relation extraction task. Homepage of Bacteria Biotope: https://sites.google.com/view/bb-2019/home 2020-02-07
bionlp-ost-19-BB-rel BB-rel subtask of the Bacteria Biotope task proposed at BioNLP-OST 2019. BB-rel is a relation extraction task. Homepage of Bacteria Biotope: https://sites.google.com/view/bb-2019/home 2020-02-07
bionlp-ost-19-BB-norm-ner BB-norm+ner subtask of the Bacteria Biotope task proposed at BioNLP-OST 2019. BB-norm+ner is an entity recognition and normalization task. 2020-02-07
bionlp-ost-19-BB-norm BB-norm subtask of the Bacteria Biotope task proposed at BioNLP-OST 2019. BB-norm is an entity normalization task. 2020-02-07