> top > users > Jin-Dong Kim
Jin-Dong Kim
User info
Collections
Projects
NameTDescription # Ann.Updated atStatus
81-90 / 158 show all
GlyCosmos600-GlycanStructure972023-11-29Testing
DisGeNet-2017-sample2.93 K2023-11-29Testing
test_disfluency_annotation_auto_jp02023-12-28Testing
GlycoBiology-Motifs4.15 K2023-11-29
GlyCosmos-GlycanStructure-c02023-11-29Testing
GlyCosmos600-GlycoEpitope2772023-11-27Testing
Parkinson542023-11-28Testing
GlyCosmos600-GlycoGenes872023-11-28Testing
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
PubCasesCollectionabstracts in PubCases02023-11-29
Automatic annotators
NameDescription
21-30 / 40 show all
PD-NGLY1-deficiency-BA batch annotator for NGLY1 deficiency
PD-GlycoEpitope-BA batch annotator using PubDictionaries with the dictionary 'GlycoEpitope'
discourse-simplifierA discourse analyzer developed by Univ. Manchester.
PD-FMA-PAE-BBatch mode annotator of PD-FMA-PAE
PD-GO-BP-BBiological Processes as defined in GO
EnjuParserEnju HPSG Parser developed by University of Tokyo.
PD-UBERON-AE-2023It annotates for anatomical entities, based on the UBERON-AE-2023 dictionary on PubDictionaries. Threshold is set to 0.85.
PD-UBERON-AE-BIt annotates for anatomical entities, based on the UBERON-AE dictionary on PubDictionaries. It used the default threshold, 0.85. It uses the batch mode annotation, and may be used for annotation to a large amount of documents.
PD-UBERON-AEIt annotates for anatomical entities, based on the UBERON-AE dictionary on PubDictionaries. Threshold is set to 0.85.
PD-FMA-PAEPhysical Anatomical Entities from FMA
Editors
Name Description
1-1 / 1
TextAEThe official stable version of TextAE.