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NameTDescription# Ann.AuthorMaintainer Updated_atStatus

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bionlp-st-ge-2016-test It 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 KDBCLSJin-Dong Kim2023-11-29Released
CHEMDNER-training-test The training subset of the CHEMDNER corpus29.4 KMartin Krallinger et al.Jin-Dong Kim2023-11-27Testing
uniprot-human Uniprot proteins for human21.8 KJin-Dong KimJin-Dong Kim2023-11-29Testing
metamap-sample Sample annotation of MetaMep, produced by Aronson, et al. An overview of MetaMap: historical perspective and recent advances, JAMIA 201010.9 KAlan R AronsonJin-Dong Kim2023-11-27Testing
GlyCosmos600-FMA 7.12 KJin-Dong Kim2023-11-29
testtesttest 5.2 KJin-Dong Kim2023-11-29Developing
GO-CC Annotation for cellular components as defined in the "Cellular Component" subtree of Gene Ontology17.6 KDBCLSJin-Dong Kim2023-11-30Developing
KoreanFN-example Korean FrameNet example6Jin-Dong Kim2023-11-29Developing
genia-medco-coref Coreference 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.45.9 KMedCo project & Genia projectJin-Dong Kim2023-11-24Developing
LitCovid-PD-MONDO 2.26 MJin-Dong Kim2023-11-24
LitCovid-PD-UBERON 540 KJin-Dong Kim2023-11-29
events-check-again 14.4 K2023-11-30Testing
LitCovid_Glycan-Motif-Structure PubDictionaries annotation for glycan-Motif terms.6.51 KISSAKU YAMADA2023-11-29Beta
Glycan-Abbreviation Glycan-Abbreviation - GlycoNAVI Project0ISSAKU YAMADA2023-11-29Testing
glycoprotein glycoprotein annotation54issaku yamadaISSAKU YAMADA2023-11-29Testing
Glycan-Motif 11.1 KISSAKU YAMADA2023-11-29Testing
Test_Project 0Ingenerfingenerf2023-11-29Testing
PGDBj_disease_curation1 disease curation test348ichihara_hisakoichihara_hisako2023-12-03Testing
simple1 4.34 Khxr-2016_dlut2023-11-29
OryzaGP1 A dataset for Named Entity Recognition for rice gene0Huy Do. Pierre Larmande2019-01-31Uploading
NameT# Ann.AuthorMaintainer Updated_atStatus

221-240 / 316 show all
bionlp-st-ge-2016-test 7.99 KDBCLSJin-Dong Kim2023-11-29Released
CHEMDNER-training-test 29.4 KMartin Krallinger et al.Jin-Dong Kim2023-11-27Testing
uniprot-human 21.8 KJin-Dong KimJin-Dong Kim2023-11-29Testing
metamap-sample 10.9 KAlan R AronsonJin-Dong Kim2023-11-27Testing
GlyCosmos600-FMA 7.12 KJin-Dong Kim2023-11-29
testtesttest 5.2 KJin-Dong Kim2023-11-29Developing
GO-CC 17.6 KDBCLSJin-Dong Kim2023-11-30Developing
KoreanFN-example 6Jin-Dong Kim2023-11-29Developing
genia-medco-coref 45.9 KMedCo project & Genia projectJin-Dong Kim2023-11-24Developing
LitCovid-PD-MONDO 2.26 MJin-Dong Kim2023-11-24
LitCovid-PD-UBERON 540 KJin-Dong Kim2023-11-29
events-check-again 14.4 K2023-11-30Testing
LitCovid_Glycan-Motif-Structure 6.51 KISSAKU YAMADA2023-11-29Beta
Glycan-Abbreviation 0ISSAKU YAMADA2023-11-29Testing
glycoprotein 54issaku yamadaISSAKU YAMADA2023-11-29Testing
Glycan-Motif 11.1 KISSAKU YAMADA2023-11-29Testing
Test_Project 0Ingenerfingenerf2023-11-29Testing
PGDBj_disease_curation1 348ichihara_hisakoichihara_hisako2023-12-03Testing
simple1 4.34 Khxr-2016_dlut2023-11-29
OryzaGP1 0Huy Do. Pierre Larmande2019-01-31Uploading