Universal NER

Universal Named Entity Recognition (UNER) aims to fill a gap in multilingual NLP: high quality NER datasets in many languages with a shared tagset.

UNER is modeled after the Universal Dependencies project, in that it is intended to be a large community annotation effort with language-universal guidelines.

Our goal is to incrementally expand the available datasets (in quality, tagset, languages, etc.). Contributions are very welcome.

Contributing

Are you interested in annotating or organizing? Please check out the project page at https://www.universalner.org/