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2009.09961
Cited By
Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference
21 September 2020
Galen Cassebeer Weld
Peter West
M. Glenski
David Arbour
Ryan Rossi
Tim Althoff
CML
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Papers citing
"Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference"
21 / 21 papers shown
Title
Estimating Causal Effects of Text Interventions Leveraging LLMs
Siyi Guo
Myrl G. Marmarelis
Fred Morstatter
Kristina Lerman
CML
400
0
0
28 Oct 2024
Quantifying the Causal Effects of Conversational Tendencies
Justine Zhang
Sendhil Mullainathan
Cristian Danescu-Niculescu-Mizil
CML
30
26
0
08 Sep 2020
Causal Knowledge Extraction from Scholarly Papers in Social Sciences
V. Z. Chen
Felipe Montano-Campos
Wlodek Zadrozny
CML
28
3
0
16 Jun 2020
Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates
Katherine A. Keith
David D. Jensen
Brendan O'Connor
CML
37
114
0
01 May 2020
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks
Suchin Gururangan
Ana Marasović
Swabha Swayamdipta
Kyle Lo
Iz Beltagy
Doug Downey
Noah A. Smith
VLM
AI4CE
CLL
139
2,423
0
23 Apr 2020
The Case for Evaluating Causal Models Using Interventional Measures and Empirical Data
A. Gentzel
Dan Garant
David D. Jensen
CML
ELM
44
46
0
11 Oct 2019
Adapting Text Embeddings for Causal Inference
Victor Veitch
Dhanya Sridhar
David M. Blei
CML
38
21
0
29 May 2019
HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization
Xingxing Zhang
Furu Wei
M. Zhou
75
379
0
16 May 2019
When do Words Matter? Understanding the Impact of Lexical Choice on Audience Perception using Individual Treatment Effect Estimation
Zhao Wang
A. Culotta
CML
39
15
0
12 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.7K
94,729
0
11 Oct 2018
Challenges of Using Text Classifiers for Causal Inference
Zach Wood-Doughty
I. Shpitser
Mark Dredze
CML
36
73
0
01 Oct 2018
Conversations Gone Awry: Detecting Early Signs of Conversational Failure
Justine Zhang
Cristian Danescu-Niculescu-Mizil
Cristian Danescu-Niculescu-Mizil
Lucas Dixon
Yiqing Hua
Nithum Thain
Dario Taraborelli
62
189
0
14 May 2018
How to Make Causal Inferences Using Texts
Naoki Egami
Christian Fong
Justin Grimmer
Margaret E. Roberts
Brandon M Stewart
CML
64
140
0
06 Feb 2018
Matching with Text Data: An Experimental Evaluation of Methods for Matching Documents and of Measuring Match Quality
Reagan Mozer
Luke W. Miratrix
A. Kaufman
L. Jason Anastasopoulos
CML
51
61
0
02 Jan 2018
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
166
286
0
09 Jul 2017
Bias and high-dimensional adjustment in observational studies of peer effects
Dean Eckles
E. Bakshy
40
61
0
14 Jun 2017
A Deep Causal Inference Approach to Measuring the Effects of Forming Group Loans in Online Non-profit Microfinance Platform
T. T. Pham
Yuanyuan Shen
3DV
32
19
0
08 Jun 2017
Bag of Tricks for Efficient Text Classification
Armand Joulin
Edouard Grave
Piotr Bojanowski
Tomas Mikolov
VLM
168
4,618
0
06 Jul 2016
Learning Representations for Counterfactual Inference
Fredrik D. Johansson
Uri Shalit
David Sontag
CML
OOD
BDL
280
729
0
12 May 2016
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.7K
150,006
0
22 Dec 2014
The effect of wording on message propagation: Topic- and author-controlled natural experiments on Twitter
Chenhao Tan
Lillian Lee
B. Pang
77
200
0
06 May 2014
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