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Annotation Artifacts in Natural Language Inference Data

6 March 2018

Papers citing "Annotation Artifacts in Natural Language Inference Data"

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Title
Azimuth: Systematic Error Analysis for Text Classification Gabrielle Gauthier Melançon Orlando Marquez Ayala Lindsay D. Brin Chris Tyler Frederic Branchaud-Charron Joseph Marinier Karine Grande Dieu-Thu Le 62 5 0 16 Dec 2022
Feature-Level Debiased Natural Language Understanding Yougang Lyu Piji Li Yechang Yang Maarten de Rijke Pengjie Ren Yukun Zhao Dawei Yin Zhaochun Ren 91 12 0 11 Dec 2022
JamPatoisNLI: A Jamaican Patois Natural Language Inference Dataset Ruth-Ann Armstrong John Hewitt Christopher D. Manning 94 16 0 07 Dec 2022
LawngNLI: A Long-Premise Benchmark for In-Domain Generalization from Short to Long Contexts and for Implication-Based Retrieval William F. Bruno Dan Roth ELM AILaw 51 7 0 06 Dec 2022
AGRO: Adversarial Discovery of Error-prone groups for Robust Optimization Bhargavi Paranjape Pradeep Dasigi Vivek Srikumar Luke Zettlemoyer Hannaneh Hajishirzi 98 8 0 02 Dec 2022
Which Shortcut Solution Do Question Answering Models Prefer to Learn? Kazutoshi Shinoda Saku Sugawara Akiko Aizawa 79 6 0 29 Nov 2022
AutoCAD: Automatically Generating Counterfactuals for Mitigating Shortcut Learning Jiaxin Wen Yeshuang Zhu Jinchao Zhang Jie Zhou Minlie Huang CML AAML 107 9 0 29 Nov 2022
Beyond Counting Datasets: A Survey of Multilingual Dataset Construction and Necessary Resources Xinyan Velocity Yu Akari Asai Trina Chatterjee Junjie Hu Eunsol Choi 102 23 0 28 Nov 2022
Attack on Unfair ToS Clause Detection: A Case Study using Universal Adversarial Triggers Shanshan Xu Irina Broda R. Haddad Marco Negrini Matthias Grabmair 46 0 0 28 Nov 2022
Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers Wanqian Yang Polina Kirichenko Micah Goldblum A. Wilson DRL 78 12 0 28 Nov 2022
Evaluation Beyond Task Performance: Analyzing Concepts in AlphaZero in Hex Charles Lovering Jessica Zosa Forde George Konidaris Ellie Pavlick Michael L. Littman 33 8 0 26 Nov 2022
Using Focal Loss to Fight Shallow Heuristics: An Empirical Analysis of Modulated Cross-Entropy in Natural Language Inference Frano Rajic Ivan Stresec Axel Marmet Tim Postuvan 34 3 0 23 Nov 2022
Leveraging Data Recasting to Enhance Tabular Reasoning Aashna Jena Vivek Gupta Manish Shrivastava Julian Martin Eisenschlos LMTD 47 6 0 23 Nov 2022
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 181 82 0 15 Nov 2022
The Lean Data Scientist: Recent Advances towards Overcoming the Data Bottleneck Chen Shani Jonathan Zarecki Dafna Shahaf 38 6 0 15 Nov 2022
An Inclusive Notion of Text Ilia Kuznetsov Iryna Gurevych 61 0 0 10 Nov 2022
Understanding Text Classification Data and Models Using Aggregated Input Salience Sebastian Ebert Alice Shoshana Jakobovits Katja Filippova FAtt 97 3 0 10 Nov 2022
Towards Human-Centred Explainability Benchmarks For Text Classification Viktor Schlegel Erick Mendez Guzman Riza Batista-Navarro 91 5 0 10 Nov 2022
Can Transformers Reason in Fragments of Natural Language? Viktor Schlegel Kamen V. Pavlov Ian Pratt-Hartmann LRM ReLM 77 7 0 10 Nov 2022
NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries? Saadia Gabriel Hamid Palangi Yejin Choi AAML 91 1 0 08 Nov 2022
Looking at the Overlooked: An Analysis on the Word-Overlap Bias in Natural Language Inference S. Rajaee Yadollah Yaghoobzadeh Mohammad Taher Pilehvar 73 5 0 07 Nov 2022
PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales Peifeng Wang Aaron Chan Filip Ilievski Muhao Chen Xiang Ren LRM ReLM 108 65 0 03 Nov 2022
Effective Cross-Task Transfer Learning for Explainable Natural Language Inference with T5 Irina Bigoulaeva Rachneet Sachdeva Harish Tayyar Madabushi Aline Villavicencio Iryna Gurevych LRM 91 5 0 31 Oct 2022
Learning to Decompose: Hypothetical Question Decomposition Based on Comparable Texts Ben Zhou Kyle Richardson Xiaodong Yu Dan Roth ReLM 101 22 0 30 Oct 2022
Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers Jieyu Zhao Xuezhi Wang Yao Qin Jilin Chen Kai-Wei Chang UQCV 86 2 0 28 Oct 2022
Debiasing Masks: A New Framework for Shortcut Mitigation in NLU Johannes Mario Meissner Saku Sugawara Akiko Aizawa AAML 61 16 0 28 Oct 2022
Outlier-Aware Training for Improving Group Accuracy Disparities Li-Kuang Chen Canasai Kruengkrai Junichi Yamagishi 81 0 0 27 Oct 2022
Look to the Right: Mitigating Relative Position Bias in Extractive Question Answering Kazutoshi Shinoda Saku Sugawara Akiko Aizawa OOD 57 7 0 26 Oct 2022
Are All Spurious Features in Natural Language Alike? An Analysis through a Causal Lens Nitish Joshi X. Pan Hengxing He CML 126 30 0 25 Oct 2022
Does Self-Rationalization Improve Robustness to Spurious Correlations? Alexis Ross Matthew E. Peters Ana Marasović LRM 104 13 0 24 Oct 2022
Cascading Biases: Investigating the Effect of Heuristic Annotation Strategies on Data and Models Chaitanya Malaviya Sudeep Bhatia Mark Yatskar 58 4 0 24 Oct 2022
Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs Maarten Sap Ronan Le Bras Daniel Fried Yejin Choi 101 232 0 24 Oct 2022
Realistic Data Augmentation Framework for Enhancing Tabular Reasoning D. K. Santhosh Kumar Vivek Gupta Soumya Sharma Shuo Zhang LMTD 75 4 0 23 Oct 2022
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation Phillip Howard Gadi Singer Vasudev Lal Yejin Choi Swabha Swayamdipta CML 118 25 0 22 Oct 2022
Leveraging Large Language Models for Multiple Choice Question Answering Joshua Robinson Christopher Rytting David Wingate ELM 244 200 0 22 Oct 2022
Enhancing Tabular Reasoning with Pattern Exploiting Training Abhilash Shankarampeta Vivek Gupta Shuo Zhang LMTD RALM ReLM 139 6 0 21 Oct 2022
Robustifying Sentiment Classification by Maximally Exploiting Few Counterfactuals Maarten De Raedt Fréderic Godin Chris Develder Thomas Demeester 43 1 0 21 Oct 2022
Finding Dataset Shortcuts with Grammar Induction Dan Friedman Alexander Wettig Danqi Chen 110 15 0 20 Oct 2022
On Feature Learning in the Presence of Spurious Correlations Pavel Izmailov Polina Kirichenko Nate Gruver A. Wilson 127 129 0 20 Oct 2022
Prompting GPT-3 To Be Reliable Chenglei Si Zhe Gan Zhengyuan Yang Shuohang Wang Jianfeng Wang Jordan L. Boyd-Graber Lijuan Wang KELM LRM 113 303 0 17 Oct 2022
TestAug: A Framework for Augmenting Capability-based NLP Tests Guanqun Yang Mirazul Haque Qiaochu Song Wei Yang Xueqing Liu ELM 61 0 0 14 Oct 2022
The Debate Over Understanding in AI's Large Language Models Melanie Mitchell D. Krakauer ELM 155 222 0 14 Oct 2022
Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey Sachin Kumar Vidhisha Balachandran Lucille Njoo Antonios Anastasopoulos Yulia Tsvetkov ELM 179 91 0 14 Oct 2022
Pretrained Transformers Do not Always Improve Robustness Swaroop Mishra Bhavdeep Singh Sachdeva Chitta Baral VLM 58 2 0 14 Oct 2022
Hardness of Samples Need to be Quantified for a Reliable Evaluation System: Exploring Potential Opportunities with a New Task Swaroop Mishra Anjana Arunkumar Chris Bryan Chitta Baral 81 2 0 14 Oct 2022
A Survey of Parameters Associated with the Quality of Benchmarks in NLP Swaroop Mishra Anjana Arunkumar Chris Bryan Chitta Baral 105 1 0 14 Oct 2022
Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence Embedding Songyang Gao Shihan Dou Qi Zhang Xuanjing Huang 43 8 0 14 Oct 2022
Assessing Out-of-Domain Language Model Performance from Few Examples Prasann Singhal Jarad Forristal Xi Ye Greg Durrett LRM 56 5 0 13 Oct 2022
Are Sample-Efficient NLP Models More Robust? Nelson F. Liu Ananya Kumar Percy Liang Robin Jia VLM OOD 67 6 0 12 Oct 2022
Self-supervised debiasing using low rank regularization Geon Yeong Park Chanyong Jung Sangmin Lee Jong Chul Ye Sang Wan Lee CML SSL 102 4 0 11 Oct 2022