> top > users > Jin-Dong Kim
Jin-Dong Kim
User info
Collections
Name DescriptionUpdated at
11-12 / 12 show all
LitCovid-v1This collection includes the result from the Covid-19 Virtual Hackathon. LitCovid is a comprehensive literature resource on the subject of Covid-19 collected by NCBI: https://www.ncbi.nlm.nih.gov/research/coronavirus/ Since the literature dataset was released, several groups are producing annotations to the dataset. To facilitate a venue for aggregating the valuable resources which are highly relevant to each other, and should be much more useful when they can be accessed together, this PubAnnotation collection is set up. It is a part of the Covid19-PubAnnotation project. In this collection, the LitCovid-docs project contains all the documents contained in the LitCovid literature collection, and the other projects are annotation datasets contributed by various groups. It is an open collection, which means anyone who wants to contribute can do so, in the following way: take the documents in the, LitCovid-docs project produce annotation to the texts based on your resource, and contribute the annotation back to this collection: create your own project at PubAnnotaiton, upload your annotation to the project (HowTo), and add the project to this collection. 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. Should you have any question, please feel free to mail to admin@pubannotation.org. 2020-11-20
PreeclampsiaPreeclampsia-related annotations for text mining2019-03-10
Projects
NameTDescription# Ann.Updated atStatus
81-90 / 160 show all
LitCovid-sentences5.63 M2023-11-24Developing
PubMed-German-testA collection of PubMed abstracts which are written in German02023-11-24Developing
PubMed-2017abstracts published in 2017.02023-11-24Developing
GlyCosmos6-Glycan-Image1.95 K2024-05-17Developing
pmc-enju-pasPredicate-argument structure annotation produced by Enju. This data set is initially produced as a supporting resource for BioNLP-ST 2016 GE task. As so, it currently includes the 34 full paper articles that are in the benchmark data sets of GE 2016 task, reference data set (bionlp-st-ge-2016-reference) and test data set (bionlp-st-ge-2016-test), but will be extended to include more papers from the PubMed Central Open Access subset (PMCOA). 205 K2023-11-28Developing
GlyCosmos6-CLOAutomatic annotation by PC-CLO.1.18 M2023-11-24Developing
GlyCosmos6-Glycan-Motif-Image87.8 K2023-11-24Developing
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
LitCoin-entities13.6 K2023-11-29Testing
tutorial152023-11-29Testing
Automatic annotators
NameDescription
21-30 / 39 show all
PD-NCBITaxon-B
PubTatorPubTator annotation provided by NCBI
PD-CHEBI-B
PD-GlycoGenes20190927-B
PD-GO-BP-BBiological Processes as defined in GO
PD-HP-B
PD-HP
PD-CLO-B
PD-HP-PA-B
PD-HP-PA
Editors
NameDescription
1-2 / 2
TextAE-oldTextAE version 4, which was the latest stable version until Apr. 19, 2020.
TextAETextAE version 5, which enables edition of attributes of denotations.