Document-Level N-ary Relation Extraction with Multiscale Representation Learning
Table 5: Results on CKB after replacing logsumexp with max (with noisy-or and gene-mutation filter). P=precision, R=recall. Max recall same as in Table 3.66footnotemark: 6
['System', 'AUC', 'P', 'R', 'F1']
We use logsumexp as the aggregation operator to combine mention-level representations into an entity-level one. For example, MultiScale lost 3.8 absolute points in AUC. Such difference is also observed in Verga et al. As in comparing ensemble operators, this demonstrates the benefit of combining weak signals using a multiscale representation.