KIND (Kessler Italian Named-entities Dataset)
Introduced by Paccosi et al. in KIND: an Italian Multi-Domain Dataset for Named Entity Recognition
KIND is an Italian dataset for Named-Entity Recognition. It contains more than one million tokens with the annotation covering three classes: persons, locations, and organizations. Most of the dataset (around 600K tokens) contains manual gold annotations in three different domains: news, literature, and political discourses.
Papers
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