An LLM fills masked constituency trees to create a synthetic domain treebank, and span-level contrastive pre-training on it gives a new SOTA average F1 of 88.52 on cross-domain parsing.
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Contrastive Learning on LLM Back Generation Treebank for Cross-domain Constituency Parsing
An LLM fills masked constituency trees to create a synthetic domain treebank, and span-level contrastive pre-training on it gives a new SOTA average F1 of 88.52 on cross-domain parsing.