Katherine A. Keith

According to our database, Katherine A. Keith authored at least 15 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Proximal Causal Inference With Text Data.

Jacob M. Chen, Rohit Bhattacharya, Katherine A. Keith

CoRR, 2024

2023

RCT Rejection Sampling for Causal Estimation Evaluation.

Katherine A. Keith, Sergey Feldman, David Jurgens, Jonathan Bragg, Rohit Bhattacharya

CoRR, 2023

Words as Gatekeepers: Measuring Discipline-specific Terms and Meanings in Scholarly Publications.

Li Lucy, Jesse Dodge, David Bamman, Katherine A. Keith

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

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

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

Trans. Assoc. Comput. Linguistics, 2022

Paying Attention to the Algorithm Behind the Curtain: Bringing Transparency to YouTube's Demonetization Algorithms.

Arun Dunna, Katherine A. Keith, Ethan Zuckerman, Narseo Vallina-Rodriguez, Brendan O'Connor, Rishab Nithyanand

Proc. ACM Hum. Comput. Interact., 2022

Democratizing Machine Learning for Interdisciplinary Scholars: Report on Organizing the NLP+CSS Online Tutorial Series.

Ian Stewart, Katherine A. Keith

CoRR, 2022

2021

Text as Causal Mediators: Research Design for Causal Estimates of Differential Treatment of Social Groups via Language Aspects.

Katherine A. Keith, Douglas Rice, Brendan O'Connor

CoRR, 2021

Corpus-Level Evaluation for Event QA: The IndiaPoliceEvents Corpus Covering the 2002 Gujarat Violence.

Andrew Halterman, Katherine A. Keith, Sheikh Muhammad Sarwar, Brendan O'Connor

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Fairkit, Fairkit, on the Wall, Who's the Fairest of Them All? Supporting Data Scientists in Training Fair Models.

Brittany Johnson, Jesse Bartola, Rico Angell, Katherine A. Keith, Sam Witty, Stephen J. Giguere, Yuriy Brun

CoRR, 2020

Uncertainty over Uncertainty: Investigating the Assumptions, Annotations, and Text Measurements of Economic Policy Uncertainty.

Katherine A. Keith, Christoph Teichmann, Brendan O'Connor, Edgar Meij

CoRR, 2020

Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates.

Katherine A. Keith, David D. Jensen, Brendan O'Connor

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Modeling Financial Analysts' Decision Making via the Pragmatics and Semantics of Earnings Calls.

Katherine A. Keith, Amanda Stent

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Monte Carlo Syntax Marginals for Exploring and Using Dependency Parses.

Katherine A. Keith, Su Lin Blodgett, Brendan T. O'Connor

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Uncertainty-aware generative models for inferring document class prevalence.

Katherine A. Keith, Brendan O'Connor

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Identifying civilians killed by police with distantly supervised entity-event extraction.

Katherine A. Keith, Abram Handler, Michael Pinkham, Cara Magliozzi, Joshua McDuffie, Brendan O'Connor

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017