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Logical Fallacy Detection

A repository containing the network to detect and classify logical fallacies in text.

Model evaluation

Binary classification

bin train accuracy bin train loss bin eval accuracy bin eval loss

Multiclass classification

electra train accuracy electra train loss electra eval accuracy electra eval loss

  • Run docker
  • Modify docker settings to:
{
  "builder": {
    "gc": {
      "defaultKeepStorage": "20GB",
      "enabled": true
    }
  },
  "experimental": false,
  "features": {
    "buildkit": false
  }
}
  • Build and run docker
chmod +x deploy.sh
./deploy.sh

Repo structure

  • network/models - Models weights.
  • network/utils - Models definitions and utils for inference.
  • network/training/data - Data used for training binary and multiclass classification models.
  • network/training/baseline - Code for training baseline NLI models.
  • network/training/prototex - Code for training CBR ProtoTEx model.