Text Rationalization Improves Causal Effect Estimation Robustness

This research explores the application of text rationalization techniques to improve the reliability of causal effect estimation. The focus on robustness suggests an effort to mitigate the impact of noise or confounding factors in the data.

• •Focuses on improving the robustness of causal effect estimation.
• •Utilizes text rationalization methods.
• •Published on ArXiv, indicating pre-print research.