MultiCoNER
Introduced by Malmasi et al. in MultiCoNER: A Large-scale Multilingual dataset for Complex Named Entity Recognition
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.
Papers
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