NLP, Machine Learning, Causality, Editors Pick, Hands On Tutorials.
labels are relabeled if necessary. The second feature of the causal-text algorithm is that it adjusts for the text using a pre-trained language model. The ATEₚᵣₒₓᵧ is measured by using the text (W), the improved proxy labels (T_hat*) and the outcomes (Y). This relies on Theorem 1, which as