YangLinyi/FactMix

Code for COLING 2022 paper "FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition"

★ 1Forks 0GitHub ↗Compare

README

FactMix

Code for COLING 2022 paper "FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition" [Paper].

Requirement

You can check requirement.txt to prepare the environment.

Run

To run the code, you can simply use the following command:

python main.py

Citation

If you find our work or code useful, please kindly cite our paper:

@inproceedings{yang2022factmix,
	title={FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition},
   	author={Linyi Yang and Lifan Yuan and Leyang Cui and Wenyang Gao and Yue Zhang},
    	booktitle={Proceedings of COLING}
    	year={2022},
}

Contributors

lifan-yuan

Issues