Papers with single-task CWS
Adaptive Multi-Task Transfer Learning for Chinese Word Segmentation in Medical Text (C18-1)
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| Challenge: | Chinese word segmentation (CWS) tools face a performance drop when dealing with domain text . domain-specific CWS requires extremely high annotation cost due to ambiguity caused by domain terms and writing style . |
| Approach: | They propose to exploit domain-invariant knowledge from high resource to low resource domains to build Chinese word segmentation models. |
| Outcome: | The proposed model achieves higher accuracy than single-task CWS and other transfer learning baselines . the model is based on domain-invariant knowledge from high resource to low resource domains based in the biomedical domain . |