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Jin-Dong Kim
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Name DescriptionUpdated at
11-12 / 12 show all
CORD-19CORD-19 (COVID-19 Open Research Dataset) is a free, open resource for the global research community provided by the Allen Institute for AI: https://pages.semanticscholar.org/coronavirus-research. As of 2020-03-20, it contains over 29,000 full text articles. This CORD-19 collection at PubAnnotation is prepared for the purpose of collecting annotations to the texts, so that they can be easily accessed and utilized. If you want to contribute with your annotation, take the documents in the CORD-19_All_docs project, produce your annotation to the texts using your annotation system, and contribute the annotation back to PubAnnotation (HowTo). All the contributed annotations will become publicly available. Please note that, during uploading your annotation data, you do not need to be worried about slight changes in the text: PubAnnotation will automatically catch them and adjust the positions appropriately. Once you have uploaded your annotation, please notify it to admin@pubannotation.org admin@pubannotation.org, so that it can be included in this collection, which will make your annotation much easily findable. Note that as the CORD-19 dataset grows, the documents in this collection also will be updated. IMPORTANT: CORD-19 License agreement requires that the dataset must be used for text and data mining only.2020-04-14
bionlp-st-ge-2016The 2016 edition of the Genia event extraction (GE) task organized within BioNLP-ST 20162019-03-11
Projects
NameTDescription# Ann.Updated atStatus
41-50 / 163 show all
LitCovid-docs-s02023-11-29Released
Grays_part2_test8.57 K2023-11-29Testing
Grays_part1_test02023-11-29Testing
LitCovid-PubTator-s1962023-11-29
LitCovid-manual5402023-11-30Developing
glycogenes2.75 K2023-11-30Testing
LitCovid-PD-MONDO-v1PubDictionaries annotation for disease terms - updated at 2020-04-20 It is 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.13.4 K2023-11-29Released
LitCoin-PubTator-for-TuningA set of randomly selected PubMed articles with PubTator annotation. The labels of PubTator annotations are converted to corresponding labels for LitCoin as follows: 'Gene' -> 'GeneOrGeneProduct', 'Disease' -> 'DiseaseOrPhenotypicFeature', 'Chemical' -> 'ChemicalEntity' 'Species' -> 'OrganismTaxon' 'Mutation' -> 'SequenceVariant' 'CellLine' -> 'CellLine'14.2 K2023-11-29
CORD-19-sample-HP392023-11-27Developing
LitCovid-sample-HP02023-11-29Testing
Automatic annotators
NameDescription
1-10 / 38 show all
PubTator-ChemicalTo pull the pre-computed chemical annotation from PubTator.
PubTator-GeneTo pull the pre-computed gene annotation from PubTator.
PubTator-SpeciesTo pull the pre-computed Species annotation from PubTator.
PubTator-DiseaseTo pull the pre-computed disease annotation from PubTator.
PubTator-MutationTo pull the pre-computed mutation annotation from PubTator.
discourse-simplifierA discourse analyzer developed by Univ. Manchester.
PD-NGLY1-deficiency-BA batch annotator for NGLY1 deficiency
PD-UBERON-AEIt annotates for anatomical entities, based on the UBERON-AE dictionary on PubDictionaries. Threshold is set to 0.85.
PD-MONDOPubDictionaries annotation with the MONDO dictionary.
PD-FMA-PAEPhysical Anatomical Entities from FMA
Editors
NameDescription
1-1 / 1
TextAEThe official stable version of TextAE.