Annotation Artifacts in Natural Language Inference Data

6 March 2018

Papers citing "Annotation Artifacts in Natural Language Inference Data"

50 / 783 papers shown

Title
The Lean Data Scientist: Recent Advances towards Overcoming the Data Bottleneck Chen Shani Jonathan Zarecki Dafna Shahaf 29 6 0 15 Nov 2022
An Inclusive Notion of Text Ilia Kuznetsov Iryna Gurevych 35 0 0 10 Nov 2022
Understanding Text Classification Data and Models Using Aggregated Input Salience Sebastian Ebert Alice Shoshana Jakobovits Katja Filippova FAtt 30 3 0 10 Nov 2022
Towards Human-Centred Explainability Benchmarks For Text Classification Viktor Schlegel Erick Mendez Guzman Riza Batista-Navarro 28 5 0 10 Nov 2022
Can Transformers Reason in Fragments of Natural Language? Viktor Schlegel Kamen V. Pavlov Ian Pratt-Hartmann LRM ReLM 35 7 0 10 Nov 2022
NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries? Saadia Gabriel Hamid Palangi Yejin Choi AAML 47 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 36 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 21 59 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 58 5 0 31 Oct 2022
Learning to Decompose: Hypothetical Question Decomposition Based on Comparable Texts Ben Zhou Kyle Richardson Xiaodong Yu Dan Roth ReLM 44 19 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 56 2 0 28 Oct 2022
Debiasing Masks: A New Framework for Shortcut Mitigation in NLU Johannes Mario Meissner Saku Sugawara Akiko Aizawa AAML 44 16 0 28 Oct 2022
Outlier-Aware Training for Improving Group Accuracy Disparities Li-Kuang Chen Canasai Kruengkrai Junichi Yamagishi 29 0 0 27 Oct 2022
Look to the Right: Mitigating Relative Position Bias in Extractive Question Answering Kazutoshi Shinoda Saku Sugawara Akiko Aizawa OOD 39 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 64 30 0 25 Oct 2022
Does Self-Rationalization Improve Robustness to Spurious Correlations? Alexis Ross Matthew E. Peters Ana Marasović LRM 27 11 0 24 Oct 2022
Cascading Biases: Investigating the Effect of Heuristic Annotation Strategies on Data and Models Chaitanya Malaviya Sudeep Bhatia Mark Yatskar 32 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 27 210 0 24 Oct 2022
Realistic Data Augmentation Framework for Enhancing Tabular Reasoning D. K. Santhosh Kumar Vivek Gupta Soumya Sharma Shuo Zhang LMTD 21 3 0 23 Oct 2022
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation Phillip Howard Gadi Singer Vasudev Lal Yejin Choi Swabha Swayamdipta CML 60 25 0 22 Oct 2022
Leveraging Large Language Models for Multiple Choice Question Answering Joshua Robinson Christopher Rytting David Wingate ELM 148 186 0 22 Oct 2022
Enhancing Tabular Reasoning with Pattern Exploiting Training Abhilash Shankarampeta Vivek Gupta Shuo Zhang LMTD RALM ReLM 68 6 0 21 Oct 2022
Robustifying Sentiment Classification by Maximally Exploiting Few Counterfactuals Maarten De Raedt Fréderic Godin Chris Develder Thomas Demeester 13 1 0 21 Oct 2022
Finding Dataset Shortcuts with Grammar Induction Dan Friedman Alexander Wettig Danqi Chen 27 15 0 20 Oct 2022
On Feature Learning in the Presence of Spurious Correlations Pavel Izmailov Polina Kirichenko Nate Gruver A. Wilson 40 118 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 60 283 0 17 Oct 2022
TestAug: A Framework for Augmenting Capability-based NLP Tests Guanqun Yang Mirazul Haque Qiaochu Song Wei Yang Xueqing Liu ELM 34 0 0 14 Oct 2022
The Debate Over Understanding in AI's Large Language Models Melanie Mitchell D. Krakauer ELM 74 203 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 81 86 0 14 Oct 2022
Pretrained Transformers Do not Always Improve Robustness Swaroop Mishra Bhavdeep Singh Sachdeva Chitta Baral VLM 33 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 24 1 0 14 Oct 2022
A Survey of Parameters Associated with the Quality of Benchmarks in NLP Swaroop Mishra Anjana Arunkumar Chris Bryan Chitta Baral 37 1 0 14 Oct 2022
Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence Embedding Songyang Gao Shihan Dou Qi Zhang Xuanjing Huang 30 8 0 14 Oct 2022
Assessing Out-of-Domain Language Model Performance from Few Examples Prasann Singhal Jarad Forristal Xi Ye Greg Durrett LRM 25 5 0 13 Oct 2022
Are Sample-Efficient NLP Models More Robust? Nelson F. Liu Ananya Kumar Percy Liang Robin Jia VLM OOD 30 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 36 3 0 11 Oct 2022
Training Debiased Subnetworks with Contrastive Weight Pruning Geon Yeong Park Sangmin Lee Sang Wan Lee Jong Chul Ye CML 40 13 0 11 Oct 2022
A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models Yuanxin Liu Fandong Meng Zheng Lin JiangNan Li Peng Fu Yanan Cao Weiping Wang Jie Zhou 39 5 0 11 Oct 2022
Language Models Are Poor Learners of Directional Inference Tianyi Li Mohammad Javad Hosseini Sabine Weber Mark Steedman 26 10 0 10 Oct 2022
Not another Negation Benchmark: The NaN-NLI Test Suite for Sub-clausal Negation Thinh Hung Truong Yulia Otmakhova Tim Baldwin Trevor Cohn Jey Han Lau Karin Verspoor 67 21 0 06 Oct 2022
InferES : A Natural Language Inference Corpus for Spanish Featuring Negation-Based Contrastive and Adversarial Examples Venelin Kovatchev Mariona Taulé 40 4 0 06 Oct 2022
State-of-the-art generalisation research in NLP: A taxonomy and review Dieuwke Hupkes Mario Giulianelli Verna Dankers Mikel Artetxe Yanai Elazar ... Leila Khalatbari Maria Ryskina Rita Frieske Ryan Cotterell Zhijing Jin 129 95 0 06 Oct 2022
Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation A. Puli Nitish Joshi Yoav Wald Hera Y. He Rajesh Ranganath 43 16 0 04 Oct 2022
Understanding Prior Bias and Choice Paralysis in Transformer-based Language Representation Models through Four Experimental Probes Ke Shen Mayank Kejriwal 27 4 0 03 Oct 2022
Scope of Pre-trained Language Models for Detecting Conflicting Health Information Josepho D. Gatto Madhusudan Basak S. Preum 32 7 0 22 Sep 2022
Importance Tempering: Group Robustness for Overparameterized Models Yiping Lu Wenlong Ji Zachary Izzo Lexing Ying 50 7 0 19 Sep 2022
Less is Better: Recovering Intended-Feature Subspace to Robustify NLU Models Ting Wu Tao Gui 45 5 0 16 Sep 2022
Possible Stories: Evaluating Situated Commonsense Reasoning under Multiple Possible Scenarios Mana Ashida Saku Sugawara 70 6 0 16 Sep 2022
DECK: Behavioral Tests to Improve Interpretability and Generalizability of BERT Models Detecting Depression from Text Jekaterina Novikova Ksenia Shkaruta AI4MH 35 4 0 12 Sep 2022
INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations Jialin Yu Alexandra I. Cristea Anoushka Harit Zhongtian Sun O. Aduragba Lei Shi Noura Al Moubayed 34 10 0 02 Sep 2022