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DAAT-CWS

Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation

Paper accepted by ACL 2020

Prerequisites

  • python == 2.7
  • tensorflow == 1.8.0

Dataset

source domain dataset PKU and five distantly-annotated target datasets are put in data/datasets directory

Usage

Run python train.py --tgt_train_path <tgt_train_path> --tgt_test_path <tgt_test_path>

Note:

This code is based on the previous work by chqiwang. Many thanks to chqiwang. The raw text of dataset used in our paper can be found at CWS-NAACL2019

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Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation

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  • Python 90.8%
  • Perl 9.2%