DiS-ReX
Introduced by Bhartiya et al. in DiS-ReX: A Multilingual Dataset for Distantly Supervised Relation Extraction
DiS-ReX is a multilingual dataset for distantly supervised (DS) relation extraction (RE). The dataset has over 1.5 million instances, spanning 4 languages (English, Spanish, German and French). The dataset has 36 positive relation types + 1 no relation (NA) class.
Papers
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