How to Explain Causality in Text

Once you have the cause and effect labeling, should you map these tokens into one of these symbolic DAG graphs? Do you think that kind of distillation between maybe if you first fit your training data set and then on your. Maybe there's a paper that does that kind of stuff. In terms of explainability, like causal graphs, I definitely think a explainability could potentially reframe it as: What caused this? You know, there's a why this, well, what caused this?