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How to Make Causal Inferences Using Texts

How to Make Causal Inferences Using Texts

6 February 2018
Naoki Egami
Christian Fong
Justin Grimmer
Margaret E. Roberts
Brandon M Stewart
    CML
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Papers citing "How to Make Causal Inferences Using Texts"

15 / 15 papers shown
Title
An Empirical Study of Causal Relation Extraction Transfer: Design and Data
Sydney Anuyah
Jack Vanschaik
Palak Jain
Sawyer Lehman
Sunandan Chakraborty
44
0
0
08 Mar 2025
Estimating Causal Effects of Text Interventions Leveraging LLMs
Estimating Causal Effects of Text Interventions Leveraging LLMs
Siyi Guo
Myrl G. Marmarelis
Fred Morstatter
Kristina Lerman
CML
152
0
0
28 Oct 2024
Isolated Causal Effects of Natural Language
Isolated Causal Effects of Natural Language
Victoria Lin
Louis-Philippe Morency
Eli Ben-Michael
CML
36
1
0
18 Oct 2024
AutoPersuade: A Framework for Evaluating and Explaining Persuasive Arguments
AutoPersuade: A Framework for Evaluating and Explaining Persuasive Arguments
Till Raphael Saenger
Musashi Hinck
Justin Grimmer
Brandon M Stewart
38
2
0
11 Oct 2024
Causal Inference for Human-Language Model Collaboration
Causal Inference for Human-Language Model Collaboration
Bohan Zhang
Yixin Wang
Paramveer S. Dhillon
38
2
0
30 Mar 2024
DoubleMLDeep: Estimation of Causal Effects with Multimodal Data
DoubleMLDeep: Estimation of Causal Effects with Multimodal Data
Jan Rabenseifner
Jan Teichert-Kluge
Philipp Bach
Victor Chernozhukov
Martin Spindler
Suhas Vijaykumar
BDL
CML
18
6
0
01 Feb 2024
Complementary Advantages of ChatGPTs and Human Readers in Reasoning:
  Evidence from English Text Reading Comprehension
Complementary Advantages of ChatGPTs and Human Readers in Reasoning: Evidence from English Text Reading Comprehension
Tongquan Zhou
Yao Zhang
Siyi Cao
Yulu Li
Tao Wang
AI4MH
LRM
35
2
0
17 Nov 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
41
11
0
30 Jan 2023
Deep Multi-Modal Structural Equations For Causal Effect Estimation With
  Unstructured Proxies
Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies
Shachi Deshpande
Kaiwen Wang
Dhruv Sreenivas
Zheng Li
Volodymyr Kuleshov
CML
SyDa
16
11
0
18 Mar 2022
A Causal Lens for Controllable Text Generation
A Causal Lens for Controllable Text Generation
Zhiting Hu
Erran L. Li
45
59
0
22 Jan 2022
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
35
30
0
07 Oct 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
24
3
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
41
234
0
02 Sep 2021
Causal Effects of Linguistic Properties
Causal Effects of Linguistic Properties
Reid Pryzant
Dallas Card
Dan Jurafsky
Victor Veitch
Dhanya Sridhar
CML
11
47
0
24 Oct 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
CML
LRM
44
156
0
27 May 2020
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