256 citations · 342 across the 78 of their papers we have counts for
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cs.CL2022★ 2 cited
Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence Embedding
Songyang Gao, Shihan Dou, Qi Zhang +1
Dataset bias has attracted increasing attention recently for its detrimental effect on the generalization ability of fine-tuned models. The current mainstream solution is designing…
cs.CL2022★ 1 cited
MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective
Xiao Wang, Shihan Dou, Limao Xiong +6
NER model has achieved promising performance on standard NER benchmarks. However, recent studies show that previous approaches may over-rely on entity mention information, resultin…
cs.CL2022★ 7 cited
Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective
Shihan Dou, Rui Zheng, Ting Wu +5
Natural language understanding (NLU) models tend to rely on spurious correlations (i.e., dataset bias) to achieve high performance on in-distribution datasets but poor performance…