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Found 2 papers, 1 papers with code
CETA: A Consensus Enhanced Training Approach for Denoising in Distantly Supervised Relation Extraction
This paper proposes a sentence-level DSRE method beyond typical instance selection approaches by preventing samples from falling into the wrong classification space on the feature space.
Key Mention Pairs Guided Document-Level Relation Extraction
To this end, we propose a novel DocRE model called Key Mention pairs Guided Relation Extractor (KMGRE) to directly model mention-level relations, containing two modules: a mention-level relation extractor and a key instance classifier.
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