NLP, Machine Learning, Causality, Editors Pick, Hands On Tutorials.
developed to produce text embeddings for causal inference; in essence, the authors designed a way to use AI language models to adjust for text when testing for causality. The causal-text algorithm has two components, first it makes use of distant supervision to improve the quality of proxy labels,