WNUT 2016
Named Entity Recognition (NER)English
WNUT 2016 is a Named Entity Recognition (NER)-focused dataset in English that provides 5,63 labeled examples distributed in Text format.
About WNUT 2016
Dataset is annotated with 10 fine-grained NER categories: person, geo-location, company, facility, product,music artist, movie, sports team, tv show and other. Dataset was extracted from tweets and is structured in CoNLL format.
Details
- Task
- Named Entity Recognition (NER)
- Language
- English
- Format
- Text
- Rows / instances
- 5,63
- Creator
- Strauss et al.
- Year
- 2016