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Evaluation of the ability of GPT-2 to learn human biases in implicit causality.

R 1.69% Jupyter Notebook 97.73% Python 0.59%
language-model pre-trained-language-models gpt-2 linguistics natural-language-generation next-word-prediction

gpt2andimplicitcausality's Introduction

Implicit causality in GPT-2: a case study

This is the repository for our paper 'Implicit causality in GPT-2: a case study' presented at IWCS 2023.

Contents

The repository contains two main folders, corresponding to the two experiments carried out in our paper.

  • experiment_1 contains code and data for the experiment looking into pronoun use.
  • experiment_2 contains code and data for the experiment looking at the quality of the continuations.

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