# DAAT-CWS

**Repository Path**: greitzmann/DAAT-CWS

## Basic Information

- **Project Name**: DAAT-CWS
- **Description**: Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-11-08
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

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](https://github.com/chqiwang/convseg). Many thanks to [chqiwang](https://github.com/chqiwang/convseg).
The raw text of dataset used in our paper can be found at [CWS-NAACL2019](https://github.com/vatile/CWS-NAACL2019)