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Jin-Dong Kim
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Collections
NameDescriptionUpdated at
11-12 / 12 show all
PreeclampsiaPreeclampsia-related annotations for text mining2019-03-10
GlycoBiologyAnnotations made to the titles and abstracts of the journal 'GlycoBiology'2019-03-10
Projects
NameTDescription# Ann. Updated atStatus
101-110 / 161 show all
bionlp-st-ge-2016-testIt is the benchmark test data set of the BioNLP-ST 2016 GE task. It includes Genia-style event annotations to 14 full paper articles which are about NFκB proteins. For testing purpose, however, annotations are all blinded, which means users cannot see the annotations in this project. Instead, annotations in any other project can be compared to the hidden annotations in this project, then the annotations in the project will be automatically evaluated based on the comparison. A participant of GE task can get the evaluation of his/her result of automatic annotation, through following process: Create a new project. Import documents from the project, bionlp-st-2016-test-proteins to your project. Import annotations from the project, bionlp-st-2016-test-proteins to your project. At this point, you may want to compare you project to this project, the benchmark data set. It will show that protein annotations in your project is 100% correct, but other annotations, e.g., events, are 0%. Produce event annotations, using your system, upon the protein annotations. Upload your event annotations to your project. Compare your project to this project, to get evaluation. GE 2016 benchmark data set is provided as multi-layer annotations which include: bionlp-st-ge-2016-reference: benchmark reference data set bionlp-st-ge-2016-test: benchmark test data set (this project) bionlp-st-ge-2016-test-proteins: protein annotation to the benchmark test data set Following is supporting resources: bionlp-st-ge-2016-coref: coreference annotation bionlp-st-ge-2016-uniprot: Protein annotation with UniProt IDs. pmc-enju-pas: dependency parsing result produced by Enju UBERON-AE: annotation for anatomical entities as defined in UBERON ICD10: annotation for disease names as defined in ICD10 GO-BP: annotation for biological process names as defined in GO GO-CC: annotation for cellular component names as defined in GO A SPARQL-driven search interface is provided at http://bionlp.dbcls.jp/sparql.7.99 K2023-11-29Released
Grays_part2_test8.57 K2023-11-29Testing
LitCoin-GeneOrGeneProduct-v2threshold = 0.938.98 K2023-11-29
metamap-sampleSample annotation of MetaMep, produced by Aronson, et al. An overview of MetaMap: historical perspective and recent advances, JAMIA 201010.9 K2023-11-27Testing
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):462-477.11.1 K2023-11-29Testing
CORD-19-SciBite-sentences11.2 K2023-11-26Testing
uniprot-mouseProtein annotation based on UniProt11.5 K2023-11-28Developing
EDAM-topicsannotation for EDAM topics11.6 K2023-11-29Testing
EDAM-DFOannotation for EDAM terms for data, formats, and operations12.5 K2023-11-29Testing
LitCovid-sample-Enju13.1 K2023-11-29Developing
Automatic annotators
Editors
NameDescription
1-1 / 1
TextAEThe official stable version of TextAE.