8 citations · 8 across the 3 of their papers we have counts for
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cs.CL2023
TLM: Token-Level Masking for Transformers
Yangjun Wu, Kebin Fang, Dongxiang Zhang +3
Structured dropout approaches, such as attention dropout and DropHead, have been investigated to regularize the multi-head attention mechanism in Transformers. In this paper, we pr…
cs.CL2022
FF2: A Feature Fusion Two-Stream Framework for Punctuation Restoration
Yangjun Wu, Kebin Fang, Yao Zhao +3
To accomplish punctuation restoration, most existing methods focus on introducing extra information (e.g., part-of-speech) or addressing the class imbalance problem. Recently, larg…
cs.CL2022★ 8 cited
A Context-Aware Feature Fusion Framework for Punctuation Restoration
Yangjun Wu, Kebin Fang, Yao Zhao
To accomplish the punctuation restoration task, most existing approaches focused on leveraging extra information (e.g., part-of-speech tags) or addressing the class imbalance probl…