Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling (P18-2)
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| Challenge: | Recent models that use gold predicates only use a single predicate at a time. |
| Approach: | They propose an end-to-end approach for jointly predicting all predicates, arguments spans, and the relations between them. |
| Outcome: | The proposed model can model overlapping spans across different predicates in the same output structure without gold predicate predications. |
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| Challenge: | Existing approaches to Semantic Role Labeling rely on discrete labels to classify predicate senses and their arguments. |
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| Challenge: | Modern state-of-the-art methods for semantic role labeling model only local interactions between individual labels . |
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