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Jin-Dong Kim
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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
NameT Description# Ann.Updated atStatus
141-150 / 161 show all
DocumentLevelAnnotationSampleA sample project for document level annotation472023-11-29Testing
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
uniprot-humanUniprot proteins for human21.8 K2023-11-29Testing
LitCovid-manual5402023-11-30Developing
glycogenes2.75 K2023-11-30Testing
pubmed-sentences-benchmarkA benchmark data for text segmentation into sentences. The source of annotation is the GENIA treebank v1.0. Following is the process taken. began with the GENIA treebank v1.0. sentence annotations were extracted and converted to PubAnnotation JSON. uploaded. 12 abstracts met alignment failure. among the 12 failure cases, 4 had a dot('.') character where there should be colon (':'). They were manually fixed then successfully uploaded: 7903907, 8053950, 8508358, 9415639. among the 12 failed abstracts, 8 were "250 word truncation" cases. They were manually fixed and successfully uploaded. During the fixing, manual annotations were added for the missing pieces of text. 30 abstracts had extra text in the end, indicating copyright statement, e.g., "Copyright 1998 Academic Press." They were annotated as a sentence in GTB. However, the text did not exist anymore in PubMed. Therefore, the extra texts were removed, together with the sentence annotation to them. 18.4 K2023-11-28Released
KoreanFN-exampleKorean FrameNet example62023-11-29Developing
genia-medco-corefCoreference 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 K2023-11-24Developing
tutorial152023-11-29Testing
test102122023-11-24
Automatic annotators
Name Description
11-20 / 39 show all
PD-GlycanStructures-B
PD-GlycoEpitope
PD-GlycoEpitope-BA batch annotator using PubDictionaries with the dictionary 'GlycoEpitope'
PD-GlycoGenes20190927-B
PD-GlycoGenes-B
PD-GlycoProteins-B
PD-GO-BP-BBiological Processes as defined in GO
PD-HP
PD-HP-B
PD-HP-PA
Editors
Name Description
1-2 / 2
TextAETextAE version 5, which enables edition of attributes of denotations.
TextAE-oldTextAE version 4, which was the latest stable version until Apr. 19, 2020.