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Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond., , , , , , , , , and 3 other author(s). CoRR, (2021)The representative's problem: how legislators use communication to secure constituent support.. PLEAD@CIKM, page 1-2. ACM, (2013)A Bayesian Hierarchical Topic Model for Political Texts: Measuring Expressed Agendas in Senate Press Releases. Political Analysis, 18 (1): 1-35 (2010)Naive regression requires weaker assumptions than factor models to adjust for multiple cause confounding., , and . J. Mach. Learn. Res., (2023)TopicCheck: Interactive Alignment for Assessing Topic Model Stability., , , , , , and . HLT-NAACL, page 175-184. The Association for Computational Linguistics, (2015)General purpose computer-assisted clustering and conceptualization., and . Proc. Natl. Acad. Sci. USA, 108 (7): 2643-2650 (2011)Discovery of Treatments from Text Corpora., and . ACL (1), The Association for Computer Linguistics, (2016)Text as data: The promise and pitfalls of automatic content analysis methods for political texts, and . Political Analysis, (2013)Creating and Destroying Party Brands.. LTCSS@ACL, page 2. Association for Computational Linguistics, (2014)Naïve regression requires weaker assumptions than factor models to adjust for multiple cause confounding., , and . CoRR, (2020)