lancopku / chinesener

Code for "Cross-Domain and Semi-Supervised Named Entity Recognition in Chinese Social Media: A Unified Model"

ChineseNER

Code for "Cross-Domain and Semi-Supervised Named Entity Recognition in Chinese Social Media: A Unified Model"

Requirements

• ubuntu 16.04
• python 2.7
• theano 0.9.0

The processed data can be found at "data" folder. If you want to run our code on your own dataset, you first need to process your dataset into the specific data structure.

Run

bash run_train.sh
bash run_test.sh

Cite

To use this code, please cite the following paper:

Jingjing Xu, Hangfeng He, Xu Sun*, Xuancheng Ren, Sujian Li. Cross-Domain and Semi-Supervised Named Entity Recognition in Chinese Social Media: A Unified Model.  IEEE Transactions on Audio, Speech and Language Processing (TASLP) 2018.

bibtext:

@article{ChineseNER,
  author    = {Jingjing Xu and Hangfeng He and Xu Sun and Xuancheng Ren and Sujian Li},
  title     = {Cross-Domain and Semi-Supervised Named Entity Recognition in Chinese Social Media: A Unified Model},
  journal = {IEEE Transactions on Audio, Speech and Language Processing (TASLP)},
  year      = {2018}
}

chinesener's Issues

发现没有embeddingsall这个文件，请问是按什么方式生成的呢?

发现没有embeddingsall这个文件，请问是按什么方式生成的呢？

can you give me your 'data/embeddingsall' file?

IOError: [Errno 2] No such file or directory: 'data/embeddingsall'

发现没有embeddingsall这个文件，请问是按什么方式生成的呢？

没有embeddingsall这个文件，请问是按什么方式生成的以及格式问题