Fetching the paper…
Reading the bibliography…
Stance detection models may tend to rely on dataset bias in the text part as a shortcut and thus fail to sufficiently learn the interaction between the targets and texts.
Did the model understand the question?
Pramod Kaushik Mudrakarta, Ankur Taly, Mukund Sundararajan, and Kedar Dhamdhere. 2018 · 1906
Earlier work this paper cites.
End-to-end self-debiasing framework for robust NLU training
Abbas Ghaddar, Phillippe Langlais, Mehdi Rezagholizadeh, and Ahmad Rashid. 2021 · 1929
Earlier work this paper cites.
Counterfactual thinking
Neal J Roese. 1997 · 1997
Earlier work this paper cites.
Stance detection benchmark: How robust is your stance detection?
Benjamin Schiller, Johannes Daxenberger, and Iryna Gurevych. 2020 · 2001
Earlier work this paper cites.
Stance detection with bidirectional conditional encoding
Isabelle Augenstein, Tim Rocktäschel, Andreas Vlachos, and Kalina Bontcheva. 2016 · 2016
Earlier work this paper cites.
Stance classification with target-specific neural attention
Jiachen Du, Ruifeng Xu, Yulan He, and Lin Gui. 2017 · 2017
Earlier work this paper cites.
Don’t just assume; look and answer: Overcoming priors for visual question answering
Aishwarya Agrawal, Dhruv Batra, Devi Parikh, and Aniruddha Kembhavi. 2018 · 2018
Earlier work this paper cites.
Annotation artifacts in natural language inference data
Suchin Gururangan, Swabha Swayamdipta, Omer Levy, Roy Schwartz, Samuel Bowman, and Noah A. Smith. 2018 · 2018
Earlier work this paper cites.
Hypothesis only baselines in natural language inference
Adam Poliak, Jason Naradowsky, Aparajita Haldar, Rachel Rudinger, and Benjamin Van Durme. 2018 · 2018
Earlier work this paper cites.
On adversarial removal of hypothesis-only bias in natural language inference
Yonatan Belinkov, Adam Poliak, Stuart Shieber, Benjamin Van Durme, and Alexander Rush. 2019 · 2019
Earlier work this paper cites.
Don’t take the easy way out: Ensemble based methods for avoiding known dataset biases
Christopher Clark, Mark Yatskar, and Luke Zettlemoyer. 2019 · 2019
Earlier work this paper cites.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Earlier work this paper cites.
Multi-task stance detection with sentiment and stance lexicons
Yingjie Li and Cornelia Caragea. 2019 · 2019
Earlier work this paper cites.
STANCY: Stance classification based on consistency cues
Kashyap Popat, Subhabrata Mukherjee, Andrew Yates, and Gerhard Weikum. 2019 · 2019
Cited alongside, same era.
Towards debiasing fact verification models
Tal Schuster, Darsh Shah, Yun Jie Serene Yeo, Daniel Roberto Filizzola Ortiz, Enrico Santus, and Regina Barzilay. 2019 · 2019
Cited alongside, same era.
Commonsense knowledge enhanced memory network for stance classification
Jiachen Du, Lin Gui, Ruifeng Xu, Yunqing Xia, and Xuan Wang. 2020 · 2020
Cited alongside, same era.
End-to-end bias mitigation by modelling biases in corpora
Rabeeh Karimi Mahabadi, Yonatan Belinkov, and James Henderson. 2020 · 2020
Cited alongside, same era.
An empirical study on robustness to spurious correlations using pre-trained language models
Lifu Tu, Garima Lalwani, Spandana Gella, and He He. 2020 · 2020
Cited alongside, same era.
Mind the trade-off: Debiasing NLU models without degrading the in-distribution performance
Matthew Matero, Nikita Soni, Niranjan Balasubramanian, and H. Andrew Schwartz. 2021 · 2021
Later among the works it cites.
Counterfactual vqa: A cause-effect look at language bias
Yulei Niu, Kaihua Tang, Hanwang Zhang, Zhiwu Lu, Xian-Sheng Hua, and Ji-Rong Wen. 2021 · 2021
Later among the works it cites.
Counterfactual inference for text classification debiasing
Chen Qian, Fuli Feng, Lijie Wen, Chunping Ma, and Pengjun Xie. 2021 · 2021
Later among the works it cites.
Counterfactual adversarial learning with representation interpolation
Wei Wang, Boxin Wang, Ning Shi, Jinfeng Li, Bingyu Zhu, Xiangyu Liu, and Rong Zhang. 2021 · 2021
Later among the works it cites.
Robustness to spurious correlations in text classification via automatically generated counterfactuals
Zhao Wang and Aron Culotta. 2021 · 2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Prasetya Ajie Utama, Nafise Sadat Moosavi, and Iryna Gurevych. 2020 · 2020
Cited alongside, same era.
Identifying spurious correlations for robust text classification
Zhao Wang and Aron Culotta. 2020 · 2020
Cited alongside, same era.
Adversarial learning for zero-shot stance detection on social media
Emily Allaway, Malavika Srikanth, and Kathleen McKeown. 2021 · 2021
Cited alongside, same era.
Towards interpreting and mitigating shortcut learning behavior of NLU models
Mengnan Du, Varun Manjunatha, Rajiv Jain, Ruchi Deshpande, Franck Dernoncourt, Jiuxiang Gu, Tong Sun, and Xia Hu. 2021 · 2021
Cited alongside, same era.
Cross-domain label-adaptive stance detection
Momchil Hardalov, Arnav Arora, Preslav Nakov, and Isabelle Augenstein. 2021 · 2021
Cited alongside, same era.
tWT–WT: A dataset to assert the role of target entities for detecting stance of tweets
Ayush Kaushal, Avirup Saha, and Niloy Ganguly. 2021 · 2021
Cited alongside, same era.
Target-aware data augmentation for stance detection
Yingjie Li and Cornelia Caragea. 2021 · 2021
Cited alongside, same era.
Position bias mitigation: A knowledge-aware graph model for emotion cause extraction
Hanqi Yan, Lin Gui, Gabriele Pergola, and Yulan He. 2021 · 2021
Later among the works it cites.
Exploring the efficacy of automatically generated counterfactuals for sentiment analysis
Linyi Yang, Jiazheng Li, Padraig Cunningham, Yue Zhang, Barry Smyth, and Ruihai Dong. 2021 · 2021
Later among the works it cites.
De-biasing distantly supervised named entity recognition via causal intervention
Wenkai Zhang, Hongyu Lin, Xianpei Han, and Le Sun. 2021 · 2021
Later among the works it cites.
C2l: Causally contrastive learning for robust text classification
Seungtaek Choi, Myeongho Jeong, Hojae Han, and Seung-won Hwang. 2022 · 2022
Closest in time.
Zero-shot stance detection via contrastive learning
Bin Liang, Zixiao Chen, Lin Gui, Yulan He, Min Yang, and Ruifeng Xu. 2022 · 2022
Closest in time.
Debiasing nlu models via causal intervention and counterfactual reasoning
Bing Tian, Yixin Cao, Yong Zhang, and Chunxiao Xing. 2022 · 2022
Closest in time.
SSR: Utilizing simplified stance reasoning process for robust stance detection
Jianhua Yuan, Yanyan Zhao, Yanyue Lu, and Bing Qin. 2022 · 2022
Closest in time.