NLP, Machine Learning, Causality, Editors Pick, Hands On Tutorials.
of matching the true ATE value, the (W adjust) ATE that adjusts for text with CausalBERT comes the closest. Neither of the values from the full “TEXTCAUSE” algorithm (adjusts for text and improves labels) are as close to the true ATE as the W adjust value, which does not use the improved labels.