Papers with syntactic ablation

1 papers
How Much Syntactic Supervision is “Good Enough”? (2023.findings-eacl)

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Challenge: RNNGs with syntactic supervision underperformed RNNs with some syntaktic supervision, whereas RNNS with mild supervision achieved the best performance comparable to the state-of-the-art GPT-2-XL.
Approach: They propose a method where syntactic LMs are gradually ablated from full syntatic supervision to zero syntastic supervision by preserving NP, VP, PP, SBAR nonterminal symbols.
Outcome: The proposed method underperforms the RNNGs with zero syntactic supervision, and the LMs with mild syntaktic supervision perform better than the state-of-the-art GPT-2-XL.

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