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User 'Jin-Dong Kim'

Projects

NameDescription# Ann.Updated atStatus
1-10 / 44 show all
bionlp-st-ge-2013-develThe development data set of the BioNLP-ST 2013 GE task. 10 papers from PubMed Central are fully manually annotated based on the Genia event annotation scheme.7,6512016-02-11Released
bionlp-st-ge-2013-trainingThe training data set of the BioNLP-ST 2013 GE task. 10 papers from PubMed Central are fully manually annotated based on the Genia event annotation scheme.6,5092016-02-11Released
BioASQ-samplecollection of PubMed articles which appear in the BioASQ sample data set.02015-10-13Testing
genia-medco-corefCoreference annotation made to the Genia corpus, following the MUC annotation scheme. It is a product of the collaboration between the Genia and the MedCo projects.46,0442016-01-29Developing
DisGeNETDisease-Gene association annotation.3,117,5042016-01-28Beta
CHEMDNER-training-testThe training subset of the CHEMDNER corpus29,3922015-03-23Testing
pubtator-sampleSample annotation of PubTator produced by Zhiyong Lu et al.282016-01-19Testing
CRAFT-treebankPenn Treebank markup for each sentence of the Colorado Richly Annotated Full Text Corpus (CRAFT).844,1232015-11-19Beta
pubmed-enju-pasAnnotating PubMed abstracts for predicate-argument structure (PAS). Enju 2.4.2 is used to automatically compute PAS.735,7732016-01-31Developing
semrep-sampleSample annotation of SemRep, produced by Rindflesch, et al. Rindflesch, T.C. and Fiszman, M. (2003). The interaction of domain knowledge and linguistic structure in natural language processing: interpreting hypernymic propositions in biomedical text. Journal of Biomedical Informatics, 36(6):462-477.10,9112016-01-28Testing

Automatic annotators

NameDescription
1-5 / 5
NFkB-related Proteins
TextSentencersentence segmentation
EnjuParserEnju HPSG Parser developed by University of Tokyo.
PD-UBERON-AE-BIt annotates for anatomical entities, based on the UBERON-AE dictionary on PubDictionaries. It used the default threshold, 0.85. It uses the batch mode annotation, and may be used for annotation to a large amount of documents.
PD-UBERON-AEIt annotates for anatomical entities, based on the UBERON-AE dictionary on PubDictionaries. Threshold is set to 0.85.