Katherine A. Keith

Orcid: 0000-0002-8101-4572

According to our database1, Katherine A. Keith authored at least 16 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2017
2018
2019
2020
2021
2022
2023
2024
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Legend:

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Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Codebook LLMs: Adapting Political Science Codebooks for LLM Use and Adapting LLMs to Follow Codebooks.
CoRR, 2024

Proximal Causal Inference With Text Data.
CoRR, 2024

2023
RCT Rejection Sampling for Causal Estimation Evaluation.
Trans. Mach. Learn. Res., 2023

Words as Gatekeepers: Measuring Discipline-specific Terms and Meanings in Scholarly Publications.
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.
Trans. Assoc. Comput. Linguistics, 2022

Paying Attention to the Algorithm Behind the Curtain: Bringing Transparency to YouTube's Demonetization Algorithms.
Proc. ACM Hum. Comput. Interact., 2022

Democratizing Machine Learning for Interdisciplinary Scholars: Report on Organizing the NLP+CSS Online Tutorial Series.
CoRR, 2022

2021
Text as Causal Mediators: Research Design for Causal Estimates of Differential Treatment of Social Groups via Language Aspects.
CoRR, 2021

Corpus-Level Evaluation for Event QA: The IndiaPoliceEvents Corpus Covering the 2002 Gujarat Violence.
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.
CoRR, 2020

Uncertainty over Uncertainty: Investigating the Assumptions, Annotations, and Text Measurements of Economic Policy Uncertainty.
CoRR, 2020

Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates.
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.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Monte Carlo Syntax Marginals for Exploring and Using Dependency Parses.
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.
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.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017


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