Robust Neural Relation Extraction via Multi-Granularity Noises Reduction
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DOI: 10.1109/tkde.2020.2964747
Abstract: Distant supervision is widely used to extract relational facts with automatically labeled datasets to reduce high cost of human annotation. However, current distantly supervised methods suffer from the common problems of word-level and sentence-level noises,… read more here.
Keywords: robust neural; granularity noises; relation; sentence ... See more keywords