amttl

参考:

amttl

使用以下命令在 TFDS 中加载此数据集:

ds = tfds.load('huggingface:amttl/amttl')
  • 说明
Chinese word segmentation (CWS) trained from open source corpus faces dramatic performance drop
when dealing with domain text, especially for a domain with lots of special terms and diverse
writing styles, such as the biomedical domain. However, building domain-specific CWS requires
extremely high annotation cost. In this paper, we propose an approach by exploiting domain-invariant
knowledge from high resource to low resource domains. Extensive experiments show that our mode
achieves consistently higher accuracy than the single-task CWS and other transfer learning
baselines, especially when there is a large disparity between source and target domains.

This dataset is the accompanied medical Chinese word segmentation (CWS) dataset.
The tags are in BIES scheme.

For more details see https://www.aclweb.org/anthology/C18-1307/
  • 许可:无已知许可
  • 版本:1.0.0
  • 拆分
拆分 样本
'test' 908
'train' 3063
'validation' 822
  • 特征
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