SETUP achieves AnCast 84 and SMATCH++ 91 on English-to-UMR parsing by fine-tuning AMR models and converting from Universal Dependencies, outperforming prior baselines.
First, we find that the current state-of-the-art pipeline approach performs poorly on the UMR v2.0 splits due to the different nature of the data
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SETUP: Sentence-level English-To-Uniform Meaning Representation Parser
SETUP achieves AnCast 84 and SMATCH++ 91 on English-to-UMR parsing by fine-tuning AMR models and converting from Universal Dependencies, outperforming prior baselines.