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Jin-Dong Kim
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Collections
NameDescription Updated at
11-12 / 12 show all
Glycosmos6This collection contains annotation projects which target all the PubMed abstracts (at the time of January 14, 2022) from the 6 glycobiology-related journals: Glycobiology Glycoconjugate journal The Journal of biological chemistry Journal of proteome research Journal of proteomics Carbohydrate research 2023-11-16
LitCovid-sampleVarious annotations to a sample set of LitCovid, to demonstrate potential of harmonized various annotations.2021-01-14
Projects
NameTDescription# Ann.Updated at Status
21-30 / 161 show all
PubMed-2017abstracts published in 2017.02023-11-24Developing
speech-test62023-11-26Testing
CORD-19-sample-UBERON542023-11-26Developing
CORD-19-SciBite-sentences11.2 K2023-11-26Testing
CORD-19-PD-MONDOPubDictionaries annotation for MONDO terms - updated at 2020-04-30 It is disease term annotation based on MONDO. Version 2020-04-20. The terms in MONDO are loaded in PubDictionaries, with which the annotations in this project are produced. The parameter configuration used for this project is here. Note that it is an automatically generated dictionary-based annotation. It will be updated periodically, as the documents are increased, and the dictionary is improved.6.32 M2023-11-27Released
LitCovid-PD-FMA-UBERON-v1PubDictionaries annotation for anatomy terms - updated at 2020-04-20 Disease term annotation based on FMA and Uberon. Version 2020-04-20. The terms in FMA and Uberon are loaded in PubDictionaries (FMA and Uberon), with which the annotations in this project are produced. The parameter configuration used for this project is here for FMA and there for Uberon. Note that it is an automatically generated dictionary-based annotation. It will be updated periodically, as the documents are increased, and the dictionary is improved.4.3 K2023-11-27Released
LitCovid-sample-MedDRA1852023-11-27Testing
LitCoin-entities-OrganismTaxon-PD9492023-11-27Testing
bionlp-st-ge-2016-test-proteinsProtein annotations to the benchmark test data set of the BioNLP-ST 2016 GE task. A participant of the GE task may import the documents and annotations of this project to his/her own project, to begin with producing event annotations. For more details, please refer to the benchmark test data set (bionlp-st-ge-2016-test). 4.34 K2023-11-27Released
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
Automatic annotators
Editors
Name Description
1-1 / 1
TextAEThe official stable version of TextAE.