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Causal Inference in Natural Language Processing: Estimation, Prediction,
  Interpretation and Beyond

Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond

2 September 2021
Amir Feder
Katherine A. Keith
Emaad A. Manzoor
Reid Pryzant
Dhanya Sridhar
Zach Wood-Doughty
Jacob Eisenstein
Justin Grimmer
Roi Reichart
Margaret E. Roberts
Brandon M Stewart
Victor Veitch
Diyi Yang
    CML
ArXivPDFHTML

Papers citing "Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond"

28 / 28 papers shown
Title
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
58
0
0
28 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
30
2
0
11 Oct 2024
Deciphering the Interplay of Parametric and Non-parametric Memory in
  Retrieval-augmented Language Models
Deciphering the Interplay of Parametric and Non-parametric Memory in Retrieval-augmented Language Models
M. Farahani
Richard Johansson
RALM
21
2
0
07 Oct 2024
CSCE: Boosting LLM Reasoning by Simultaneous Enhancing of Causal Significance and Consistency
CSCE: Boosting LLM Reasoning by Simultaneous Enhancing of Causal Significance and Consistency
Kangsheng Wang
Xiao Zhang
Zizheng Guo
Tianyu Hu
Huimin Ma
LRM
40
7
0
20 Sep 2024
Causal Inference with Large Language Model: A Survey
Causal Inference with Large Language Model: A Survey
Jing Ma
CML
LRM
60
8
0
15 Sep 2024
Can Unconfident LLM Annotations Be Used for Confident Conclusions?
Can Unconfident LLM Annotations Be Used for Confident Conclusions?
Kristina Gligorić
Tijana Zrnic
Cinoo Lee
Emmanuel J. Candès
Dan Jurafsky
63
4
0
27 Aug 2024
Interpreting Low-level Vision Models with Causal Effect Maps
Interpreting Low-level Vision Models with Causal Effect Maps
Jinfan Hu
Jinjin Gu
Shiyao Yu
Fanghua Yu
Zheyuan Li
Zhiyuan You
Chaochao Lu
Chao Dong
CML
46
2
0
29 Jul 2024
Can LLMs Learn Macroeconomic Narratives from Social Media?
Can LLMs Learn Macroeconomic Narratives from Social Media?
Almog Gueta
Amir Feder
Zorik Gekhman
Ariel Goldstein
Roi Reichart
16
4
0
17 Jun 2024
Conformal Counterfactual Inference under Hidden Confounding
Conformal Counterfactual Inference under Hidden Confounding
Zonghao Chen
Ruocheng Guo
Jean-François Ton
Yang Liu
CML
OffRL
25
2
0
20 May 2024
Measuring and Improving Attentiveness to Partial Inputs with
  Counterfactuals
Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals
Yanai Elazar
Bhargavi Paranjape
Hao Peng
Sarah Wiegreffe
Khyathi Raghavi
Vivek Srikumar
Sameer Singh
Noah A. Smith
AAML
OOD
21
0
0
16 Nov 2023
Explainable Depression Symptom Detection in Social Media
Explainable Depression Symptom Detection in Social Media
Eliseo Bao Souto
Anxo Perez
Javier Parapar
22
5
0
20 Oct 2023
Emoji Promotes Developer Participation and Issue Resolution on GitHub
Emoji Promotes Developer Participation and Issue Resolution on GitHub
Yuhang Zhou
Xuan Lu
Ge Gao
Qiaozhu Mei
Wei Ai
16
3
0
30 Aug 2023
CFL: Causally Fair Language Models Through Token-level Attribute
  Controlled Generation
CFL: Causally Fair Language Models Through Token-level Attribute Controlled Generation
Rahul Madhavan
Rishabh Garg
Kahini Wadhawan
S. Mehta
11
5
0
01 Jun 2023
An Invariant Learning Characterization of Controlled Text Generation
An Invariant Learning Characterization of Controlled Text Generation
Carolina Zheng
Claudia Shi
Keyon Vafa
Amir Feder
David M. Blei
OOD
13
8
0
31 May 2023
A Survey on Causal Discovery Methods for I.I.D. and Time Series Data
A Survey on Causal Discovery Methods for I.I.D. and Time Series Data
Uzma Hasan
Emam Hossain
Md. Osman Gani
CML
AI4TS
15
24
0
27 Mar 2023
Advances in Automatically Rating the Trustworthiness of Text Processing
  Services
Advances in Automatically Rating the Trustworthiness of Text Processing Services
Biplav Srivastava
Kausik Lakkaraju
Mariana Bernagozzi
Marco Valtorta
12
6
0
04 Feb 2023
Reasoning with Language Model Prompting: A Survey
Reasoning with Language Model Prompting: A Survey
Shuofei Qiao
Yixin Ou
Ningyu Zhang
Xiang Chen
Yunzhi Yao
Shumin Deng
Chuanqi Tan
Fei Huang
Huajun Chen
ReLM
ELM
LRM
44
307
0
19 Dec 2022
Causal Intervention Improves Implicit Sentiment Analysis
Causal Intervention Improves Implicit Sentiment Analysis
Siyin Wang
Jie Zhou
Changzhi Sun
Junjie Ye
Tao Gui
Qi Zhang
Xuanjing Huang
20
15
0
19 Aug 2022
Challenges in Applying Explainability Methods to Improve the Fairness of
  NLP Models
Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models
Esma Balkir
S. Kiritchenko
I. Nejadgholi
Kathleen C. Fraser
9
36
0
08 Jun 2022
Counterfactually Augmented Data and Unintended Bias: The Case of Sexism
  and Hate Speech Detection
Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection
Indira Sen
Mattia Samory
Claudia Wagner
Isabelle Augenstein
11
16
0
09 May 2022
Informativeness and Invariance: Two Perspectives on Spurious
  Correlations in Natural Language
Informativeness and Invariance: Two Perspectives on Spurious Correlations in Natural Language
Jacob Eisenstein
CML
18
25
0
09 Apr 2022
FaiRR: Faithful and Robust Deductive Reasoning over Natural Language
FaiRR: Faithful and Robust Deductive Reasoning over Natural Language
Soumya Sanyal
Harman Singh
Xiang Ren
ReLM
LRM
6
44
0
19 Mar 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
25
30
0
07 Oct 2021
Using Sociolinguistic Variables to Reveal Changing Attitudes Towards
  Sexuality and Gender
Using Sociolinguistic Variables to Reveal Changing Attitudes Towards Sexuality and Gender
Sky CH-Wang
David Jurgens
24
7
0
22 Sep 2021
Entity-Based Knowledge Conflicts in Question Answering
Entity-Based Knowledge Conflicts in Question Answering
Shayne Longpre
Kartik Perisetla
Anthony Chen
Nikhil Ramesh
Chris DuBois
Sameer Singh
HILM
235
236
0
10 Sep 2021
Tailor: Generating and Perturbing Text with Semantic Controls
Tailor: Generating and Perturbing Text with Semantic Controls
Alexis Ross
Tongshuang Wu
Hao Peng
Matthew E. Peters
Matt Gardner
130
77
0
15 Jul 2021
Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and
  Goals of Human Trust in AI
Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI
Alon Jacovi
Ana Marasović
Tim Miller
Yoav Goldberg
241
417
0
15 Oct 2020
Hypothesis Only Baselines in Natural Language Inference
Hypothesis Only Baselines in Natural Language Inference
Adam Poliak
Jason Naradowsky
Aparajita Haldar
Rachel Rudinger
Benjamin Van Durme
187
574
0
02 May 2018
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