Improving Open Information Extraction via Iterative Rank-Aware Learning
Table 2: Case study of reranking effectiveness. Red for predicate and blue for arguments.
['[BOLD] sentence', '[BOLD] old', '[BOLD] new', '[BOLD] label']
We can see the order is consistent with the annotation after reranking, showing the additional loss function’s efficacy in calibrating the confidences; this is particularly common in extractions with long arguments.