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Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond


Sep 02, 2021
Amir Feder, Katherine A. Keith, Emaad Manzoor, Reid Pryzant, Dhanya Sridhar, Zach Wood-Doughty, Jacob Eisenstein, Justin Grimmer, Roi Reichart, Margaret E. Roberts, Brandon M. Stewart, Victor Veitch, Diyi Yang


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The Proximal ID Algorithm


Aug 15, 2021
Ilya Shpitser, Zach Wood-Doughty, Eric J. Tchetgen Tchetgen


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Faithful and Plausible Explanations of Medical Code Predictions


Apr 16, 2021
Zach Wood-Doughty, Isabel Cachola, Mark Dredze

* The first two authors contributed equally 

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Generating Synthetic Text Data to Evaluate Causal Inference Methods


Feb 10, 2021
Zach Wood-Doughty, Ilya Shpitser, Mark Dredze


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Demographic Representation and Collective Storytelling in the Me Too Twitter Hashtag Activism Movement


Oct 13, 2020
Aaron Mueller, Zach Wood-Doughty, Silvio Amir, Mark Dredze, Alicia L. Nobles

* 27 pages (incl. 5 for references). Submitted to CSCW 2021 

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Using Noisy Self-Reports to Predict Twitter User Demographics


May 01, 2020
Zach Wood-Doughty, Paiheng Xu, Xiao Liu, Mark Dredze

* The first two authors had an equal contribution 

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Challenges of Using Text Classifiers for Causal Inference


Oct 01, 2018
Zach Wood-Doughty, Ilya Shpitser, Mark Dredze

* To appear at EMNLP 2018 

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