Stance_Detection/JointCL

• Introduction
• • Requirements
  • Usage
  • Training
  • Credits

Introduction

This repository is used in our paper:

JointCL: A Joint Contrastive Learning Framework for Zero-Shot Stance Detection


Bin Liang, Qinlin Zhu, Xiang Li, Min Yang, Lin Gui, Yulan He, Ruifeng Xu^*. Proceedings of ACL 2022

Please cite our paper and kindly give a star for this repository if you use this code.

Requirements

• Python 3.6
• PyTorch 1.6.0
• faiss-gpu 1.7.1
• transformers 2.5.1

Usage

• Install faiss package.

Training

• Train with command, optional arguments could be found in run_semeval.py & run_vast.py & run_wtwt.py

• Run Semeval dataset: python ./run_semeval.py

• Run VAST dataset: python ./run_vast.py

• Run WTWT dataset: python ./run_wtwt.py

Credits

• The code of this repository partly relies on ASGCN & ABSA-PyTorch & PCL.
• Here, I would like to express my gratitude to the authors of the ASGCN & ABSA-PyTorch & PCL repositories.