natural language processing
MultiCoNER is a large multilingual dataset (11 languages) for Named Entity Recognition. It is designed to represent some of the contemporary challenges in NER, including low-context scenarios (short and uncased text), syntactically complex entities such as movie titles, and long-tail entity distributions.
N/A
https://multiconer.s3.us-west-2.amazonaws.com/readme.html
See all datasets managed by Amazon.
MultiCoNER Dataset was accessed on DATE
from https://registry.opendata.aws/multiconer.
arn:aws:s3:::multiconer
us-west-2
aws s3 ls --no-sign-request s3://multiconer/