The NewsReader MEANTIME Corpus
Named Entity Recognition (NER)Multi-Lingual
The NewsReader MEANTIME Corpus is a Named Entity Recognition (NER)-focused dataset in Multi-Lingual that provides 480 labeled examples distributed in XML, NAF format.
About The NewsReader MEANTIME Corpus
480 news articles: 120 English Wikinews articles on four topics (i.e. Airbus and Boeing, Apple Inc., Stock market, and General Motors, Chrysler and Ford) and their translations in Spanish, Italian, and Dutch. Annotated with entities, events, temporal, semantic roles and event/entity coreference.
Details
- Task
- Named Entity Recognition (NER)
- Language
- Multi-Lingual
- Format
- XML, NAF
- Rows / instances
- 480
- Creator
- Minard et al.
- Year
- 2016