Abstract:Background From an unstructured text, Relation Extraction (RE) predicts semantic relationships between pairs of entities. The process of labeling tokens and phrases can be very expensive and require a great deal of time and effort. The Low-Resource Relation Extraction (LRE) problem comes into being, is challenging since there are only a limited number of annotated sentences available. Recent research has focused on minimizing the cross-entropy loss between pseudo labels and ground truth or on using external kn… Show more
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