Justin Grimmer

According to our database1, Justin Grimmer authored at least 10 papers between 2011 and 2024.

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

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

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Bibliography

2024
AutoPersuade: A Framework for Evaluating and Explaining Persuasive Arguments.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
Naive regression requires weaker assumptions than factor models to adjust for multiple cause confounding.
J. Mach. Learn. Res., 2023

2022
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond.
Trans. Assoc. Comput. Linguistics, 2022

2018
How to Make Causal Inferences Using Texts.
CoRR, 2018

2016
Discovery of Treatments from Text Corpora.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Measuring Representational Style in the House: The Tea Party, Obama, and Legislators' Changing Expressed Priorities.
Proceedings of the Computational Social Science: Discovery and Prediction, 2016

2015
TopicCheck: Interactive Alignment for Assessing Topic Model Stability.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

2014
Creating and Destroying Party Brands.
Proceedings of the Workshop on Language Technologies and Computational Social Science@ACL 2014, 2014

2013
The representative's problem: how legislators use communication to secure constituent support.
Proceedings of the 2nd workshop on Politics, elections and data, 2013

2011
General purpose computer-assisted clustering and conceptualization.
Proc. Natl. Acad. Sci. USA, 2011


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