Katherine A. Keith

27 papers A* 4Journal 19Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Op-Fed: Opinion, Stance, and Monetary Policy Annotations on FOMC Transcripts Using Active Learning. CoRR Alisa Kanganis, Katherine A. Keith
2025	J	`jnl`	What is a protest anyway? Codebook conceptualization is still a first-order concern in LLM-era classification. CoRR Andrew Halterman, Katherine A. Keith
2024	J	`jnl`	Codebook LLMs: Adapting Political Science Codebooks for LLM Use and Adapting LLMs to Follow Codebooks. CoRR Andrew Halterman, Katherine A. Keith
2024	A*	`conf`	Proximal Causal Inference With Text Data. NeurIPS Jacob M. Chen, Rohit Bhattacharya, Katherine A. Keith
2024	J	`jnl`	Proximal Causal Inference With Text Data. CoRR Jacob M. Chen, Rohit Bhattacharya, Katherine A. Keith
2023	J	`jnl`	RCT Rejection Sampling for Causal Estimation Evaluation. CoRR Katherine A. Keith, Sergey Feldman, David Jurgens, Jonathan Bragg, Rohit Bhattacharya
2023	J	`jnl`	RCT Rejection Sampling for Causal Estimation Evaluation. Trans. Mach. Learn. Res. Katherine A. Keith, Sergey Feldman, David Jurgens, Jonathan Bragg, Rohit Bhattacharya
2023	—	`conf`	Words as Gatekeepers: Measuring Discipline-specific Terms and Meanings in Scholarly Publications. ACL (Findings) Li Lucy, Jesse Dodge, David Bamman, Katherine A. Keith
2022	J	`jnl`	Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond. Trans. Assoc. Comput. Linguistics 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
2022	J	`jnl`	Democratizing Machine Learning for Interdisciplinary Scholars: Report on Organizing the NLP+CSS Online Tutorial Series. CoRR Ian Stewart, Katherine A. Keith
2022	J	`jnl`	Paying Attention to the Algorithm Behind the Curtain: Bringing Transparency to YouTube's Demonetization Algorithms. Proc. ACM Hum. Comput. Interact. Arun Dunna, Katherine A. Keith, Ethan Zuckerman, Narseo Vallina-Rodriguez, Brendan O'Connor, Rishab Nithyanand
2022	J	`jnl`	Words as Gatekeepers: Measuring Discipline-specific Terms and Meanings in Scholarly Publications. CoRR Li Lucy, Jesse Dodge, David Bamman, Katherine A. Keith
2021	J	`jnl`	Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond. CoRR 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
2021	—	`conf`	Corpus-Level Evaluation for Event QA: The IndiaPoliceEvents Corpus Covering the 2002 Gujarat Violence. ACL/IJCNLP (Findings) Andrew Halterman, Katherine A. Keith, Sheikh Muhammad Sarwar, Brendan O'Connor
2021	J	`jnl`	Corpus-Level Evaluation for Event QA: The IndiaPoliceEvents Corpus Covering the 2002 Gujarat Violence. CoRR Andrew Halterman, Katherine A. Keith, Sheikh Muhammad Sarwar, Brendan O'Connor
2021	J	`jnl`	Text as Causal Mediators: Research Design for Causal Estimates of Differential Treatment of Social Groups via Language Aspects. CoRR Katherine A. Keith, Douglas Rice, Brendan O'Connor
2020	J	`jnl`	Fairkit, Fairkit, on the Wall, Who's the Fairest of Them All? Supporting Data Scientists in Training Fair Models. CoRR Brittany Johnson, Jesse Bartola, Rico Angell, Katherine A. Keith, Sam Witty, Stephen J. Giguere, Yuriy Brun
2020	A*	`conf`	Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates. ACL Katherine A. Keith, David D. Jensen, Brendan O'Connor
2020	J	`jnl`	Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates. CoRR Katherine A. Keith, David D. Jensen, Brendan O'Connor
2020	J	`jnl`	Uncertainty over Uncertainty: Investigating the Assumptions, Annotations, and Text Measurements of Economic Policy Uncertainty. CoRR Katherine A. Keith, Christoph Teichmann, Brendan O'Connor, Edgar Meij
2019	—	`conf`	Modeling Financial Analysts' Decision Making via the Pragmatics and Semantics of Earnings Calls. ACL (1) Katherine A. Keith, Amanda Stent
2019	J	`jnl`	Modeling financial analysts' decision making via the pragmatics and semantics of earnings calls. CoRR Katherine A. Keith, Amanda Stent
2018	—	`conf`	Monte Carlo Syntax Marginals for Exploring and Using Dependency Parses. NAACL-HLT Katherine A. Keith, Su Lin Blodgett, Brendan T. O'Connor
2018	J	`jnl`	Monte Carlo Syntax Marginals for Exploring and Using Dependency Parses. CoRR Katherine A. Keith, Su Lin Blodgett, Brendan O'Connor
2018	A*	`conf`	Uncertainty-aware generative models for inferring document class prevalence. EMNLP Katherine A. Keith, Brendan O'Connor
2017	A*	`conf`	Identifying civilians killed by police with distantly supervised entity-event extraction. EMNLP Katherine A. Keith, Abram Handler, Michael Pinkham, Cara Magliozzi, Joshua McDuffie, Brendan O'Connor
2017	J	`jnl`	Identifying civilians killed by police with distantly supervised entity-event extraction. CoRR Katherine A. Keith, Abram Handler, Michael Pinkham, Cara Magliozzi, Joshua McDuffie, Brendan O'Connor