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Exploring the Efficacy of Automatically Generated Counterfactuals for
  Sentiment Analysis

Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis

29 June 2021
Linyi Yang
Jiazheng Li
Padraig Cunningham
Yue Zhang
Barry Smyth
Ruihai Dong
ArXivPDFHTML

Papers citing "Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis"

13 / 13 papers shown
Title
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
37
2
0
23 May 2023
Learning to Generalize for Cross-domain QA
Learning to Generalize for Cross-domain QA
Yingjie Niu
Linyi Yang
Ruihai Dong
Yue Zhang
24
6
0
14 May 2023
Debiasing Stance Detection Models with Counterfactual Reasoning and
  Adversarial Bias Learning
Debiasing Stance Detection Models with Counterfactual Reasoning and Adversarial Bias Learning
Jianhua Yuan
Yanyan Zhao
Bing Qin
47
4
0
20 Dec 2022
Video Games as a Corpus: Sentiment Analysis using Fallout New Vegas
  Dialog
Video Games as a Corpus: Sentiment Analysis using Fallout New Vegas Dialog
Mika Hämäläinen
Khalid Alnajjar
Thierry Poibeau
13
5
0
05 Dec 2022
AutoCAD: Automatically Generating Counterfactuals for Mitigating
  Shortcut Learning
AutoCAD: Automatically Generating Counterfactuals for Mitigating Shortcut Learning
Jiaxin Wen
Yeshuang Zhu
Jinchao Zhang
Jie Zhou
Minlie Huang
CML
AAML
22
8
0
29 Nov 2022
GLUE-X: Evaluating Natural Language Understanding Models from an
  Out-of-distribution Generalization Perspective
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective
Linyi Yang
Shuibai Zhang
Libo Qin
Yafu Li
Yidong Wang
Hanmeng Liu
Jindong Wang
Xingxu Xie
Yue Zhang
ELM
46
79
0
15 Nov 2022
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer
  Data Augmentation
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation
Phillip Howard
Gadi Singer
Vasudev Lal
Yejin Choi
Swabha Swayamdipta
CML
58
25
0
22 Oct 2022
TCAB: A Large-Scale Text Classification Attack Benchmark
TCAB: A Large-Scale Text Classification Attack Benchmark
Kalyani Asthana
Zhouhang Xie
Wencong You
Adam Noack
Jonathan Brophy
Sameer Singh
Daniel Lowd
39
3
0
21 Oct 2022
Robustifying Sentiment Classification by Maximally Exploiting Few
  Counterfactuals
Robustifying Sentiment Classification by Maximally Exploiting Few Counterfactuals
Maarten De Raedt
Fréderic Godin
Chris Develder
Thomas Demeester
13
1
0
21 Oct 2022
Causal Intervention-based Prompt Debiasing for Event Argument Extraction
Causal Intervention-based Prompt Debiasing for Event Argument Extraction
Jiaju Lin
Jie Zhou
Qin Chen
24
3
0
04 Oct 2022
FactMix: Using a Few Labeled In-domain Examples to Generalize to
  Cross-domain Named Entity Recognition
FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition
Linyi Yang
Lifan Yuan
Leyang Cui
Wen Gao
Yue Zhang
32
15
0
24 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
21
36
0
08 Jun 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
27
39
0
24 Mar 2022
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