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ORCIDKatherine A. Keith
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Journal Articles
- 2023
[j3]Katherine A. Keith, Sergey Feldman, David Jurgens, Jonathan Bragg, Rohit Bhattacharya:
RCT Rejection Sampling for Causal Estimation Evaluation. Trans. Mach. Learn. Res. 2023 (2023)- 2022
- [j2]Arun Dunna, Katherine A. Keith, Ethan Zuckerman, Narseo Vallina-Rodriguez, Brendan O'Connor, Rishab Nithyanand:
Paying Attention to the Algorithm Behind the Curtain: Bringing Transparency to YouTube's Demonetization Algorithms. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-31 (2022) - [j1]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:
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond. Trans. Assoc. Comput. Linguistics 10: 1138-1158 (2022)
Conference and Workshop Papers
- 2023
- [c7]Li Lucy, Jesse Dodge, David Bamman, Katherine A. Keith:
Words as Gatekeepers: Measuring Discipline-specific Terms and Meanings in Scholarly Publications. ACL (Findings) 2023: 6929-6947 - 2021
- [c6]Andrew Halterman, Katherine A. Keith, Sheikh Muhammad Sarwar, Brendan O'Connor:
Corpus-Level Evaluation for Event QA: The IndiaPoliceEvents Corpus Covering the 2002 Gujarat Violence. ACL/IJCNLP (Findings) 2021: 4240-4253 - 2020
- [c5]Katherine A. Keith, David D. Jensen, Brendan O'Connor:
Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates. ACL 2020: 5332-5344 - 2019
- [c4]Katherine A. Keith, Amanda Stent:
Modeling Financial Analysts' Decision Making via the Pragmatics and Semantics of Earnings Calls. ACL (1) 2019: 493-503 - 2018
- [c3]Katherine A. Keith, Brendan O'Connor:
Uncertainty-aware generative models for inferring document class prevalence. EMNLP 2018: 4575-4585 - [c2]Katherine A. Keith, Su Lin Blodgett, Brendan T. O'Connor:
Monte Carlo Syntax Marginals for Exploring and Using Dependency Parses. NAACL-HLT 2018: 917-928 - 2017
- [c1]Katherine A. Keith, Abram Handler, Michael Pinkham, Cara Magliozzi, Joshua McDuffie, Brendan O'Connor:
Identifying civilians killed by police with distantly supervised entity-event extraction. EMNLP 2017: 1547-1557
Informal and Other Publications
- 2024
- [i14]Jacob M. Chen, Rohit Bhattacharya, Katherine A. Keith:
Proximal Causal Inference With Text Data. CoRR abs/2401.06687 (2024) - [i13]Andrew Halterman, Katherine A. Keith:
Codebook LLMs: Adapting Political Science Codebooks for LLM Use and Adapting LLMs to Follow Codebooks. CoRR abs/2407.10747 (2024) - 2023
- [i12]Katherine A. Keith, Sergey Feldman, David Jurgens, Jonathan Bragg, Rohit Bhattacharya:
RCT Rejection Sampling for Causal Estimation Evaluation. CoRR abs/2307.15176 (2023) - 2022
- [i11]Ian Stewart, Katherine A. Keith:
Democratizing Machine Learning for Interdisciplinary Scholars: Report on Organizing the NLP+CSS Online Tutorial Series. CoRR abs/2211.15971 (2022) - [i10]Li Lucy, Jesse Dodge, David Bamman, Katherine A. Keith:
Words as Gatekeepers: Measuring Discipline-specific Terms and Meanings in Scholarly Publications. CoRR abs/2212.09676 (2022) - 2021
- [i9]Andrew Halterman, Katherine A. Keith, Sheikh Muhammad Sarwar, Brendan O'Connor:
Corpus-Level Evaluation for Event QA: The IndiaPoliceEvents Corpus Covering the 2002 Gujarat Violence. CoRR abs/2105.12936 (2021) - [i8]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:
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond. CoRR abs/2109.00725 (2021) - [i7]Katherine A. Keith, Douglas Rice, Brendan O'Connor:
Text as Causal Mediators: Research Design for Causal Estimates of Differential Treatment of Social Groups via Language Aspects. CoRR abs/2109.07542 (2021) - 2020
- [i6]Katherine A. Keith, David D. Jensen, Brendan O'Connor:
Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates. CoRR abs/2005.00649 (2020) - [i5]Katherine A. Keith, Christoph Teichmann, Brendan O'Connor, Edgar Meij:
Uncertainty over Uncertainty: Investigating the Assumptions, Annotations, and Text Measurements of Economic Policy Uncertainty. CoRR abs/2010.04706 (2020) - [i4]Brittany Johnson, Jesse Bartola, Rico Angell, Katherine A. Keith, Sam Witty, Stephen J. Giguere, Yuriy Brun:
Fairkit, Fairkit, on the Wall, Who's the Fairest of Them All? Supporting Data Scientists in Training Fair Models. CoRR abs/2012.09951 (2020) - 2019
- [i3]Katherine A. Keith, Amanda Stent:
Modeling financial analysts' decision making via the pragmatics and semantics of earnings calls. CoRR abs/1906.02868 (2019) - 2018
- [i2]Katherine A. Keith, Su Lin Blodgett, Brendan O'Connor:
Monte Carlo Syntax Marginals for Exploring and Using Dependency Parses. CoRR abs/1804.06004 (2018) - 2017
- [i1]Katherine A. Keith, Abram Handler, Michael Pinkham, Cara Magliozzi, Joshua McDuffie, Brendan O'Connor:
Identifying civilians killed by police with distantly supervised entity-event extraction. CoRR abs/1707.07086 (2017)
Coauthor Index
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