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20182023
most citedTowards Robust and Generalizable Training: An Empirical Study of Noisy Slot Filling for Input Perturbations

3 citations · 5 across the 5 of their papers we have counts for

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Showing 2021Show all

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cs.CL2021

Bridge to Target Domain by Prototypical Contrastive Learning and Label Confusion: Re-explore Zero-Shot Learning for Slot Filling

Liwen Wang, Xuefeng Li, Jiachi Liu +3

Zero-shot cross-domain slot filling alleviates the data dependence in the case of data scarcity in the target domain, which has aroused extensive research. However, as most of the…