GDS
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CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction
AbstractThe journey of reducing noise from distant supervision (DS) generated training data has been started since the DS was first introduced into the relation extraction (RE) task. For the past …...
A Simple Model for Distantly Supervised Relation Extraction
AbstractDistantly supervised relation extraction is challenging due to the noise within data. Recent methods focus on exploiting bag representations based on deep neural networks with complex de-noising scheme to achieve …...