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Found 3 papers, 2 papers with code
Masked Conditional Random Fields for Sequence Labeling
Conditional Random Field (CRF) based neural models are among the most performant methods for solving sequence labeling problems.
Pre-training with Meta Learning for Chinese Word Segmentation
Recent researches show that pre-trained models (PTMs) are beneficial to Chinese Word Segmentation (CWS).
DEAL: Difficulty-aware Active Learning for Semantic Segmentation
To deal with this problem, we propose a semantic Difficulty-awarE Active Learning (DEAL) network composed of two branches: the common segmentation branch and the semantic difficulty branch.
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