most citedMeta-Learning Adversarial Domain Adaptation Network for Few-Shot Text Classification

2 citations · 4 across the 2 of their papers we have counts for

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cs.CL2022★ 2 cited

SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition

Jianing Wang, Chengcheng Han, Chengyu Wang +5

Few-shot Named Entity Recognition (NER) aims to identify named entities with very little annotated data. Previous methods solve this problem based on token-wise classification, whi…

cs.CL2021★ 2 cited

Meta-Learning Adversarial Domain Adaptation Network for Few-Shot Text Classification

ChengCheng Han, Zeqiu Fan, Dongxiang Zhang +3

Meta-learning has emerged as a trending technique to tackle few-shot text classification and achieved state-of-the-art performance. However, existing solutions heavily rely on the…