Projects

OryzaGP

Updating OryzaGP dataset during BLAH7

https://github.com/pierrelarmande/OryzaGP

LitCovid

LitCovid: an open database of COVID-19 literature (Tutorial)

https://www.ncbi.nlm.nih.gov/research/coronavirus/

blah7_litcovid_011521.mp4

OGER

Analyzing COVID-19 literature with OGER

https://coree.github.io/blah7/

PubDic

PubDictionaries annotation to LitCovid (Tutorial)

http://pubdictionaries.org/

PubDictionaries annotation to LitCovid

LASIGE

Annotating a multilingual COVID-19-related corpus

https://github.com/lasigeBioTM/blah7

AGAC

AGAC for Covid-19 Hackathon Project

https://sites.google.com/view/agac-for-covid-19-hackathon/

Twitter

Biomedically oriented automatically annotated Twitter COVID-19 Dataset

https://github.com/thepanacealab/annotated_twitter_covid19_dataset

  • the video below is only playable in Chrome or FireFox.

BLAH7-video_twitter_dataset_JMB.mp4

WMTBiomedical

Generation of Parallel Corpora in PubAnnotation for the WMT Biomedical Task

https://github.com/biomedical-translation-corpora/training-data-pubannotation

JMeSH

Creating a silver standard Japanese MeSH from COVID-19 literature

https://github.com/soares-f/JMeSH/

VSM

Converting NLP dependency trees to semantic structures in VSM

https://github.com/vsm/nlp-to-vsm

Uncommon

Uncommon-disease with uncommon presentation

Uncommon-disease with uncommon presentation

MQI

Measurable Quantitative Annotation (Tutorial)

https://github.com/Nwj-9/Measurable-Quantitative-Information-Annotation

  • the video below is only playable in Chrome or FireFox.

Measurable quantitative information_Annotation.mp4