> top > projects

Projects

NameTDescription# Ann.Author MaintainerUpdated_atStatus

341-360 / 590 show all
LitCovid-PD-MONDO 2.26 MJin-Dong Kim2023-11-24
LitCovid-PD-CHEBI 1.43 MJin-Dong Kim2023-11-24Developing
PubMed_ArguminSci Predictions for PubMed automatically extracted with the ArguminSci tool (https://github.com/anlausch/ArguminSci).777 Kzebet2023-11-24Released
MicrobeTaxon 1.23 KYo Shidahara2023-11-26Testing
LitCovid-PD-FMA-UBERON 1.3 MJin-Dong Kim2023-11-28Developing
NGLY1-deficiency A collection of PubMed abstracts that may be related to NGLY1 deficiency.60.5 KJin-Dong Kim2023-11-29Developing
preeclampsia_genes 17.8 KJin-Dong Kim2023-11-29Developing
Preeclampsia-compare 67.2 KJin-Dong Kim2023-11-29Testing
bionlp-st-ge-2016-reference-eval 426Jin-Dong Kim2023-11-29Testing
LitCovid-PD-GlycoEpitope 999Jin-Dong Kim2023-11-29Developing
testone 6.76 Kykyao2023-11-29
simple1 4.34 Khxr-2016_dlut2023-11-29
test3 10.7 Kykyao2023-11-29
DLUT931 DLUT NLP Lab.Test our event extration result for 16 GE task.4.57 KDLUT9312023-11-30Testing
test2 12.3 Kykyao2023-11-29
BioNLP16_DUT 6.5 KMessiy2023-11-29Testing
BioNLP16_Messiy 6.5 KMessiy2023-11-29Testing
Glycosmos6-MAT Automatic annotation by PD-MAT.263 KJin-Dong Kim2023-11-29Developing
events-check-again 14.4 K2023-11-30Testing
bionlp-st-2016-SeeDev-test Entities annotations from the test set of the BioNLP-ST 2016 SeeDev task. SeeDev task focuses on seed storage and reserve accumulation on the model organism, Arabidopsis thaliana. The SeeDev task is based on the knowledge model Gene Regulation Network for Arabidopsis (GRNA) that meets the needs of text-mining (i.e. manual annotation of texts and automatic information extraction), experimental data indexing and retrieval and reuse in other plant systems. It is also expected to meet the requirements of the integration of the text knowledge with knowledge derived from experimental data in view of modeling in systems biology. GRNA model defines 16 different types of entities, and 22 types of event (in five sets of event types) that may be combined in complex events. For more information, please refer to the task website All annotations : Train set Development set Test set (without events) 184EstelleChaix2023-11-29Released
NameT# Ann.Author MaintainerUpdated_atStatus

341-360 / 590 show all
LitCovid-PD-MONDO 2.26 MJin-Dong Kim2023-11-24
LitCovid-PD-CHEBI 1.43 MJin-Dong Kim2023-11-24Developing
PubMed_ArguminSci 777 Kzebet2023-11-24Released
MicrobeTaxon 1.23 KYo Shidahara2023-11-26Testing
LitCovid-PD-FMA-UBERON 1.3 MJin-Dong Kim2023-11-28Developing
NGLY1-deficiency 60.5 KJin-Dong Kim2023-11-29Developing
preeclampsia_genes 17.8 KJin-Dong Kim2023-11-29Developing
Preeclampsia-compare 67.2 KJin-Dong Kim2023-11-29Testing
bionlp-st-ge-2016-reference-eval 426Jin-Dong Kim2023-11-29Testing
LitCovid-PD-GlycoEpitope 999Jin-Dong Kim2023-11-29Developing
testone 6.76 Kykyao2023-11-29
simple1 4.34 Khxr-2016_dlut2023-11-29
test3 10.7 Kykyao2023-11-29
DLUT931 4.57 KDLUT9312023-11-30Testing
test2 12.3 Kykyao2023-11-29
BioNLP16_DUT 6.5 KMessiy2023-11-29Testing
BioNLP16_Messiy 6.5 KMessiy2023-11-29Testing
Glycosmos6-MAT 263 KJin-Dong Kim2023-11-29Developing
events-check-again 14.4 K2023-11-30Testing
bionlp-st-2016-SeeDev-test 184EstelleChaix2023-11-29Released