More Bang for Your Buck: Natural Perturbation for Robust Question
Answering

More Bang for Your Buck: Natural Perturbation for Robust Question Answering

9 April 2020

Daniel Khashabi

Ashish Sabharwal

Papers citing "More Bang for Your Buck: Natural Perturbation for Robust Question Answering"

11 / 11 papers shown

Title
Learning the Difference that Makes a Difference with Counterfactually-Augmented Data Divyansh Kaushik Eduard H. Hovy Zachary Chase Lipton CML 86 569 0 26 Sep 2019
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets Mor Geva Yoav Goldberg Jonathan Berant 320 326 0 21 Aug 2019
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions Christopher Clark Kenton Lee Ming-Wei Chang Tom Kwiatkowski Michael Collins Kristina Toutanova 217 1,517 0 24 May 2019
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems Alex Jinpeng Wang Yada Pruksachatkun Nikita Nangia Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 256 2,312 0 02 May 2019
Cycle-Consistency for Robust Visual Question Answering Meet Shah Xinlei Chen Marcus Rohrbach Devi Parikh OOD 59 189 0 15 Feb 2019
On Adversarial Examples for Character-Level Neural Machine Translation J. Ebrahimi Daniel Lowd Dejing Dou AAML 84 220 0 23 Jun 2018
Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations Sosuke Kobayashi 84 613 0 16 May 2018
Towards Robust Neural Machine Translation Yong Cheng Zhaopeng Tu Fandong Meng Junjie Zhai Yang Liu AAML 41 161 0 16 May 2018
Breaking NLI Systems with Sentences that Require Simple Lexical Inferences Max Glockner Vered Shwartz Yoav Goldberg NAI 72 366 0 06 May 2018
SQuAD: 100,000+ Questions for Machine Comprehension of Text Pranav Rajpurkar Jian Zhang Konstantin Lopyrev Percy Liang RALM 274 8,127 0 16 Jun 2016
A large annotated corpus for learning natural language inference Samuel R. Bowman Gabor Angeli Christopher Potts Christopher D. Manning 310 4,284 0 21 Aug 2015

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