Entity, Relation, and Event Extraction with Contextualized Span Representations
Table 1: DyGIE++ achieves state-of-the-art results. Test set F1 scores of best model, on all tasks and datasets. We define the following notations for events: Trig: Trigger, Arg: argument, ID: Identification, C: Classification. * indicates the use of a 4-model ensemble for trigger detection. See Appendix E for details. The results of the single model are reported in Table 2 (c). We ran significance tests on a subset of results in Appendix D. All were statistically significant except Arg-C and Arg-ID on ACE05-Event.
['Dataset', 'Task', 'SOTA', 'Ours', 'Δ%']
Table 1 shows test set F1 on the entity, relation and event extraction tasks. Our framework establishes a new state-of-the-art on all three high-level tasks, and on all subtasks except event argument identification. Relative error reductions range from 0.2 - 27.9% over previous state of the art models.