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Official Implementation for Pre-CoFact (AAAI-22 DeFactify Workshop Best Paper)

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wywyWang/Multi-Modal-Fact-Verification-2021

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Official code of Team Yao at Multi-Modal-Fact-Verification-2022

A Multi-Modal Fact Verification dataset released as part of the De-Factify workshop in AAAI-22. We won the fifth place and the technical report can be viewed here.

Updated News

We propose the improved version, Pre-CoFactv2, winning the first prize at the FACTIFY 2 Challenge. Please refer to the new repo of Pre-CoFactv2 for more details.

Challenge

The task is to find out support, insufficient-evidence and refute between given claims.

Usage

  • Train model
    bash single_model.sh
    
  • Evaluate model
    python evaluate.py ${model_path}
    
  • Ensemble models
    python ensemble.py
    

Dataset

Metric

F1 averaged across the 5 categories. The final ranking would be based on the weighted average F1 score.

Method Overview

## Experiment Overview

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Official Implementation for Pre-CoFact (AAAI-22 DeFactify Workshop Best Paper)

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