VinAIResearch/PhoNER_COVID19
COVID-19 Named Entity Recognition for Vietnamese (NAACL 2021)
This project provides a specialized dataset to help researchers extract key COVID-19 related information from Vietnamese text. It takes raw Vietnamese sentences and identifies crucial details like patient names, symptoms, or locations. Public health researchers, epidemiologists, and natural language processing specialists working on disease surveillance would find this valuable.
No commits in the last 6 months.
Use this if you are a researcher developing systems to automatically identify and extract specific COVID-19 related entities from Vietnamese text for public health analysis.
Not ideal if you need a tool for real-time disease outbreak tracking or if your research is not focused on the Vietnamese language or COVID-19.
Stars
72
Forks
18
Language
—
License
—
Category
Last pushed
Jul 22, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/VinAIResearch/PhoNER_COVID19"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
vunb/vntk
Vietnamese NLP Toolkit for Node
vncorenlp/VnCoreNLP
A Vietnamese natural language processing toolkit (NAACL 2018)
VinAIResearch/PhoNLP
PhoNLP: A BERT-based multi-task learning model for part-of-speech tagging, named entity...
IBM/transition-amr-parser
SoTA Abstract Meaning Representation (AMR) parsing with word-node alignments in Pytorch....
nert-nlp/AMR-Bibliography
Organized inventory of research using the Abstract Meaning Representation