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Text and Causal Inference: A Review of Using Text to Remove Confounding
  from Causal Estimates

Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates

1 May 2020
Katherine A. Keith
David D. Jensen
Brendan O'Connor
    CML
ArXiv (abs)PDFHTML

Papers citing "Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates"

36 / 36 papers shown
Title
Empirical likelihood for Fréchet means on open books
Empirical likelihood for Fréchet means on open books
Karthik Bharath
Huiling Le
A. Wood
Xi Yan
173
4
0
25 Dec 2024
Causal Representation Learning with Generative Artificial Intelligence: Application to Texts as Treatments
Causal Representation Learning with Generative Artificial Intelligence: Application to Texts as Treatments
Kosuke Imai
Kentaro Nakamura
CML
106
6
0
01 Oct 2024
Causal Inference with Large Language Model: A Survey
Causal Inference with Large Language Model: A Survey
Jing Ma
CMLLRM
253
9
0
15 Sep 2024
Out-of-Distribution Generalization in Text Classification: Past,
  Present, and Future
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future
Linyi Yang
Yangqiu Song
Xuan Ren
Chenyang Lyu
Yidong Wang
Lingqiao Liu
Jindong Wang
Jennifer Foster
Yue Zhang
OOD
125
3
0
23 May 2023
Integrating Earth Observation Data into Causal Inference: Challenges and
  Opportunities
Integrating Earth Observation Data into Causal Inference: Challenges and Opportunities
Connor Jerzak
Fredrik D. Johansson
Adel Daoud
CML
72
12
0
30 Jan 2023
Causal Estimation for Text Data with (Apparent) Overlap Violations
Causal Estimation for Text Data with (Apparent) Overlap Violations
Lin Gui
Victor Veitch
OOD
99
13
0
30 Sep 2022
Neuro-Symbolic Procedural Planning with Commonsense Prompting
Neuro-Symbolic Procedural Planning with Commonsense Prompting
Yujie Lu
Weixi Feng
Wanrong Zhu
Wenda Xu
Xinze Wang
Miguel P. Eckstein
William Yang Wang
LM&Ro
61
37
0
06 Jun 2022
Conceptualizing Treatment Leakage in Text-based Causal Inference
Conceptualizing Treatment Leakage in Text-based Causal Inference
Adel Daoud
Connor Jerzak
Richard Johansson
CML
54
9
0
01 May 2022
Towards Fine-grained Causal Reasoning and QA
Towards Fine-grained Causal Reasoning and QA
Linyi Yang
Zhen Wang
Yuxiang Wu
Jie Yang
Yue Zhang
86
16
0
15 Apr 2022
A Rationale-Centric Framework for Human-in-the-loop Machine Learning
A Rationale-Centric Framework for Human-in-the-loop Machine Learning
Jinghui Lu
Linyi Yang
Brian Mac Namee
Yue Zhang
93
39
0
24 Mar 2022
Evaluation Methods and Measures for Causal Learning Algorithms
Evaluation Methods and Measures for Causal Learning Algorithms
Lu Cheng
Ruocheng Guo
Raha Moraffah
Paras Sheth
K. S. Candan
Huan Liu
CMLELM
100
54
0
07 Feb 2022
A Causal Lens for Controllable Text Generation
A Causal Lens for Controllable Text Generation
Zhiting Hu
Erran L. Li
109
64
0
22 Jan 2022
Identifying Causal Influences on Publication Trends and Behavior: A Case
  Study of the Computational Linguistics Community
Identifying Causal Influences on Publication Trends and Behavior: A Case Study of the Computational Linguistics Community
M. Glenski
Svitlana Volkova
CMLAI4CE
84
1
0
15 Oct 2021
Causal Direction of Data Collection Matters: Implications of Causal and
  Anticausal Learning for NLP
Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP
Zhijing Jin
Julius von Kügelgen
Jingwei Ni
Tejas Vaidhya
Ayush Kaushal
Mrinmaya Sachan
Bernhard Schoelkopf
CML
105
32
0
07 Oct 2021
Enhancing Model Robustness and Fairness with Causality: A Regularization
  Approach
Enhancing Model Robustness and Fairness with Causality: A Regularization Approach
Zhao Wang
Kai Shu
A. Culotta
OOD
112
14
0
03 Oct 2021
A Survey of Online Hate Speech through the Causal Lens
A Survey of Online Hate Speech through the Causal Lens
Antigoni-Maria Founta
Lucia Specia
34
6
0
16 Sep 2021
Text as Causal Mediators: Research Design for Causal Estimates of
  Differential Treatment of Social Groups via Language Aspects
Text as Causal Mediators: Research Design for Causal Estimates of Differential Treatment of Social Groups via Language Aspects
Katherine A. Keith
Douglas Rice
Brendan O'Connor
CML
59
4
0
15 Sep 2021
Causal Inference in Natural Language Processing: Estimation, Prediction,
  Interpretation and Beyond
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond
Amir Feder
Katherine A. Keith
Emaad A. Manzoor
Reid Pryzant
Dhanya Sridhar
...
Roi Reichart
Margaret E. Roberts
Brandon M Stewart
Victor Veitch
Diyi Yang
CML
114
246
0
02 Sep 2021
What do writing features tell us about AI papers?
What do writing features tell us about AI papers?
Zining Zhu
Bai Li
Yang Xu
Frank Rudzicz
24
0
0
13 Jul 2021
Causal Discovery in Knowledge Graphs by Exploiting Asymmetric Properties
  of Non-Gaussian Distributions
Causal Discovery in Knowledge Graphs by Exploiting Asymmetric Properties of Non-Gaussian Distributions
Rohan Giriraj
Sinnu Susan Thomas
CML
46
0
0
02 Jun 2021
Everything Has a Cause: Leveraging Causal Inference in Legal Text
  Analysis
Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysis
Xiao Liu
Da Yin
Yansong Feng
Yuting Wu
Dongyan Zhao
CMLAILaw
97
36
0
19 Apr 2021
What Makes a Scientific Paper be Accepted for Publication?
What Makes a Scientific Paper be Accepted for Publication?
Panagiotis Fytas
Georgios Rizos
Lucia Specia
33
10
0
14 Apr 2021
Generating Synthetic Text Data to Evaluate Causal Inference Methods
Generating Synthetic Text Data to Evaluate Causal Inference Methods
Zach Wood-Doughty
I. Shpitser
Mark Dredze
SyDaCML
68
11
0
10 Feb 2021
Controlled Analyses of Social Biases in Wikipedia Bios
Controlled Analyses of Social Biases in Wikipedia Bios
Anjalie Field
Chan Young Park
Kevin Z. Lin
Yulia Tsvetkov
81
26
0
31 Dec 2020
Robustness to Spurious Correlations in Text Classification via
  Automatically Generated Counterfactuals
Robustness to Spurious Correlations in Text Classification via Automatically Generated Counterfactuals
Zhao Wang
A. Culotta
CMLOOD
77
100
0
18 Dec 2020
Uncovering Latent Biases in Text: Method and Application to Peer Review
Uncovering Latent Biases in Text: Method and Application to Peer Review
Emaad Manzoor
Nihar B. Shah
64
39
0
29 Oct 2020
Causal Effects of Linguistic Properties
Causal Effects of Linguistic Properties
Reid Pryzant
Dallas Card
Dan Jurafsky
Victor Veitch
Dhanya Sridhar
CML
113
49
0
24 Oct 2020
Uncertainty over Uncertainty: Investigating the Assumptions,
  Annotations, and Text Measurements of Economic Policy Uncertainty
Uncertainty over Uncertainty: Investigating the Assumptions, Annotations, and Text Measurements of Economic Policy Uncertainty
Katherine A. Keith
Christoph Teichmann
Brendan O'Connor
Edgar Meij
UQLM
33
8
0
09 Oct 2020
Identifying Spurious Correlations for Robust Text Classification
Identifying Spurious Correlations for Robust Text Classification
Zhao Wang
A. Culotta
OOD
76
78
0
06 Oct 2020
Adjusting for Confounders with Text: Challenges and an Empirical
  Evaluation Framework for Causal Inference
Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference
Galen Cassebeer Weld
Peter West
M. Glenski
David Arbour
Ryan Rossi
Tim Althoff
CML
102
20
0
21 Sep 2020
Quantifying the Causal Effects of Conversational Tendencies
Quantifying the Causal Effects of Conversational Tendencies
Justine Zhang
Sendhil Mullainathan
Cristian Danescu-Niculescu-Mizil
CML
62
26
0
08 Sep 2020
CausaLM: Causal Model Explanation Through Counterfactual Language Models
CausaLM: Causal Model Explanation Through Counterfactual Language Models
Amir Feder
Nadav Oved
Uri Shalit
Roi Reichart
CMLLRM
161
162
0
27 May 2020
Unsupervised Discovery of Implicit Gender Bias
Unsupervised Discovery of Implicit Gender Bias
Anjalie Field
Yulia Tsvetkov
85
49
0
17 Apr 2020
A Survey on Causal Inference
A Survey on Causal Inference
Liuyi Yao
Zhixuan Chu
Sheng Li
Yaliang Li
Jing Gao
Aidong Zhang
CML
117
516
0
05 Feb 2020
How to Make Causal Inferences Using Texts
How to Make Causal Inferences Using Texts
Naoki Egami
Christian Fong
Justin Grimmer
Margaret E. Roberts
Brandon M Stewart
CML
90
142
0
06 Feb 2018
Automated versus do-it-yourself methods for causal inference: Lessons
  learned from a data analysis competition
Automated versus do-it-yourself methods for causal inference: Lessons learned from a data analysis competition
Vincent Dorie
J. Hill
Uri Shalit
M. Scott
D. Cervone
CML
270
288
0
09 Jul 2017
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