Causality, NLP, Machine Learning, Deep Dives, Thoughts And Theory.
variables. These methods include latent variable models, such as topic models (eg. LDA), embedding methods (eg. sentence-BERT embeddings), and auto-encoders (eg. variational auto-encoders). The second approach is to use supervised models to adjust for confounders from text; this can be done by