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 001 (EMNLP, 2017)

Uncertainty-aware generative models for inferring document class prevalence. - Katherine A. Keith; Brendan O'Connor 001 (EMNLP, 2018)

Monte Carlo Syntax Marginals for Exploring and Using Dependency Parses. - Katherine A. Keith; Su Lin Blodgett; Brendan T. O'Connor 001 (NAACL-HLT, 2018)

Modeling Financial Analysts' Decision Making via the Pragmatics and Semantics of Earnings Calls. - Katherine A. Keith; Amanda Stent (ACL (1), 2019)

Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates. - Katherine A. Keith; David D. Jensen; Brendan O'Connor 001 (ACL, 2020)

Uncertainty over Uncertainty: Investigating the Assumptions, Annotations, and Text Measurements of Economic Policy Uncertainty. - Katherine A. Keith; Christoph Teichmann; Brendan O'Connor 001; Edgar Meij (CoRR, 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)

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 001 (ACL/IJCNLP (Findings), 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 001 (CoRR, 2021)

Democratizing Machine Learning for Interdisciplinary Scholars: Report on Organizing the NLP+CSS Online Tutorial Series. - Ian Stewart; Katherine A. Keith (CoRR, 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 001; Rishab Nithyanand (Proc. ACM Hum. Comput. Interact., 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; et al. (Trans. Assoc. Comput. Linguistics, 2022)

Words as Gatekeepers: Measuring Discipline-specific Terms and Meanings in Scholarly Publications. - Li Lucy; Jesse Dodge; David Bamman; Katherine A. Keith (ACL (Findings), 2023)

RCT Rejection Sampling for Causal Estimation Evaluation. - Katherine A. Keith; Sergey Feldman; David Jurgens; Jonathan Bragg; Rohit Bhattacharya (Trans. Mach. Learn. Res., 2023)

Proximal Causal Inference With Text Data. - Jacob M. Chen; Rohit Bhattacharya; Katherine A. Keith (NeurIPS, 2024)

Codebook LLMs: Adapting Political Science Codebooks for LLM Use and Adapting LLMs to Follow Codebooks. - Andrew Halterman; Katherine A. Keith (CoRR, 2024)