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Does adding a theorem to a paper affect its chance of acceptance? Does labeling a post with the author's gender affect the post popularity? This paper develops a method to estimate such causal effects from observational text data, adjusting for confounding features of the text such as the subject or writing quality.
“The central role of the propensity score in observational studies for causal effects”
Paul. Rosenbaum and Donal. Rubin · 1983
Earlier work this paper cites.
“IDENTIFIABILITY CRITERIA FOR CAUSAL EFFECTS OF JOINT INTERVENTIONS”
Manabu Kuroki and Masami Miyakawa · 1999
Earlier work this paper cites.
“Latent Dirichlet allocation”
David Blei, Andrew Ng and Michael Jordan · 2003
Earlier work this paper cites.
“Targeted Learning: Causal Inference for Observational and Experimental Data”, 2011
Mark van Laan and Sherri Rose · 2011
Earlier work this paper cites.
“On Measurement Bias in Causal Inference”
Judea Pearl · 2012
Earlier work this paper cites.
“Distributed Representations of Words and Phrases and Their Compositionality”
Tomas Mikolov et al · 2013
Earlier work this paper cites.
“Efficient estimation of word representations in vector space”
Tomas Mikolov, Kai Chen, Greg Corrado and Jeffrey Dean · 2013
Earlier work this paper cites.
“Measurement bias and effect restoration in causal inference”
Manabu Kuroki and Judea Pearl · 2014
Earlier work this paper cites.
“Interpretation and Identification of Causal Mediation”
Judea Pearl · 2014
Cited alongside, same era.
“Learning representations for counterfactual inference”
Fredrik Johansson, Uri Shalit and David Sontag · 2016
Cited alongside, same era.
“Semiparametric theory and empirical processes in causal inference”
Edward. Kennedy · 2016
Cited alongside, same era.
“BERT: pre-training of deep bidirectional transformers for language understanding”
Jacob Devlin, Ming-Wei Chang, Kenton Lee and Kristina Toutanova · 2018
Cited alongside, same era.
“How to make causal inferences using texts”
Naoki Egami et al · 2018
Cited alongside, same era.
“Learning weighted representations for generalization across designs”
“Identifying causal effects with proxy variables of an unmeasured confounder”
Wang Miao, Zhi Geng and Eric Tchetgen · 2018
Later among the works it cites.
“Deep contextualized word representations”
Matthew. Peters et al · 2018
Later among the works it cites.
“Adjusting for confounding with text matching”, 2018
Margaret Roberts, Brandon Stewart and Richard Nielsen · 2018
Later among the works it cites.
“Challenges of Using Text Classifiers for Causal Inference”
Zach Wood-Doughty, Ilya Shpitser and Mark Dredze · 2018
Later among the works it cites.
“Support and invertibility in domain-invariant representations”
Fredrik Johansson, Rajesh Ranganath and David Sontag · 2019
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Fredrik Johansson, Nathan Kallus, Uri Shalit and David Sontag · 2018
Cited alongside, same era.
“Causal inference with noisy and missing covariates via matrix factorization”
Nathan Kallus, Xiaojie Mao and Madeleine Udell · 2018
Cited alongside, same era.
“A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications”
Dongyeop Kang et al · 2018
Cited alongside, same era.
“Covariate Reduction for Weighted Causal Effect Estimation with Deconfounding Scores”
Alexander D’Amour and Alexander Franks
Cited in the paper.
Claudia Shi, David Blei and Victor Veitch · 2019
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“Using embeddings to correct for unobserved confounding in networks”
Victor Veitch, Yixin Wang and David Blei · 2019
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Fredrik Johansson, Uri Shalit, Nathan Kallus and David Sontag · 2020
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