NYT10
Related Papers
Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction
AbstractDistantly supervised relation extraction is widely used to extract relational facts from text, but suffers from noisy labels. Current relation extraction methods try to alleviate the noise by multi-instance learning …...
Relation Extraction with Temporal Reasoning Based on Memory Augmented Distant Supervision
AbstractDistant supervision (DS) is an important paradigm for automatically extracting relations. It utilizes existing knowledge base to collect examples for the relation we intend to extract, and then uses these …...
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 …...