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

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experiment_1		experiment_1
experiment_2		experiment_2
.gitignore		.gitignore
README.md		README.md

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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.

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

linguistics natural-language-generation language-model next-word-prediction gpt-2 pre-trained-language-models

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