DCPER

The implementation of DCPER: Zero-shot cross-domain slot filling via Domain-aware Contrastive prompting with Post-hoc Entity Refining.

The code for subsequent train.py and retriever.py will be published after the paper is accepted.

🔥 Run our Code

Create a new environment with python==3.9

conda create -n dcper python==3.9

Requirements:

Install the requirement packages

pip install -r requirements.txt

📚 Dataset

SNIPS

python retriever.py

🚀 Zero-shot cross-domain about SNIPS

python train.py 

Notes and Acknowledgments

The implementation is based on https://github.com/smxiao/RAGSF. If you feel that I have been helpful to you, please cite our paper and the RAGSF paper(DOI: 10.1109/ICASSP49660.2025.10889405). retrieve_data.zip is a dataset generated during our experiment.But you may need different parameter adjustments to replicate our experiments.