Generating Data to Mitigate Spurious Correlations in Natural Language
Inference Datasets

Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets

24 March 2022

Pontus Stenetorp

Papers citing "Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets"

9 / 59 papers shown

Title
PECO: Examining Single Sentence Label Leakage in Natural Language Inference Datasets through Progressive Evaluation of Cluster Outliers Michael Stephen Saxon Xinyi Wang Wenda Xu William Yang Wang 6 8 0 16 Dec 2021
Toward Annotator Group Bias in Crowdsourcing Haochen Liu J. Thekinen Sinem Mollaoglu Da Tang Ji Yang Youlong Cheng Hui Liu Jiliang Tang 39 16 0 08 Oct 2021
Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics Prajjwal Bhargava Aleksandr Drozd Anna Rogers 87 101 0 04 Oct 2021
CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification Models Minwoo Lee Seungpil Won Juae Kim Hwanhee Lee Cheoneum Park Kyomin Jung 36 29 0 30 Sep 2021
Tailor: Generating and Perturbing Text with Semantic Controls Alexis Ross Tongshuang Wu Hao Peng Matthew E. Peters Matt Gardner 130 77 0 15 Jul 2021
Competency Problems: On Finding and Removing Artifacts in Language Data Matt Gardner William Merrill Jesse Dodge Matthew E. Peters Alexis Ross Sameer Singh Noah A. Smith 157 106 0 17 Apr 2021
HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference Tianyu Liu Xin Zheng Baobao Chang Zhifang Sui 30 22 0 05 Mar 2020
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets Mor Geva Yoav Goldberg Jonathan Berant 235 319 0 21 Aug 2019
Hypothesis Only Baselines in Natural Language Inference Adam Poliak Jason Naradowsky Aparajita Haldar Rachel Rudinger Benjamin Van Durme 187 574 0 02 May 2018