CausaLM: Causal Model Explanation Through Counterfactual Language Models
AbstractUnderstanding predictions made by deep neural networks is notoriously difficult, but also crucial to their dissemination. As all machine learning–based methods, they are as good as their training data, and can also capture unwanted biases. While there are tools that can help...
| Автори: | , , , |
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| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
The MIT Press
2021-07-01
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| Серія: | Computational Linguistics |
| Онлайн доступ: | https://direct.mit.edu/coli/article/47/2/333/98518/CausaLM-Causal-Model-Explanation-Through |