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Found 3 papers, 2 papers with code
TLM: Token-Level Masking for Transformers
Structured dropout approaches, such as attention dropout and DropHead, have been investigated to regularize the multi-head attention mechanism in Transformers.
FF2: A Feature Fusion Two-Stream Framework for Punctuation Restoration
To accomplish punctuation restoration, most existing methods focus on introducing extra information (e. g., part-of-speech) or addressing the class imbalance problem.
A Context-Aware Feature Fusion Framework for Punctuation Restoration
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 problem.
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