Adjusting for Confounders with Text: Challenges and an Empirical
Evaluation Framework for Causal Inference

Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference

21 September 2020

Galen Cassebeer Weld

Ryan Rossi

Papers citing "Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference"

4 / 4 papers shown

Title
Estimating Causal Effects of Text Interventions Leveraging LLMs Siyi Guo Myrl G. Marmarelis Fred Morstatter Kristina Lerman CML 137 0 0 28 Oct 2024
Identifying Causal Influences on Publication Trends and Behavior: A Case Study of the Computational Linguistics Community M. Glenski Svitlana Volkova CML AI4CE 16 1 0 15 Oct 2021
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond Amir Feder Katherine A. Keith Emaad A. Manzoor Reid Pryzant Dhanya Sridhar ... Roi Reichart Margaret E. Roberts Brandon M Stewart Victor Veitch Diyi Yang CML 32 234 0 02 Sep 2021
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 223 719 0 12 May 2016