Cascading Biases: Investigating the Effect of Heuristic Annotation Strategies on Data and Models

24 October 2022

Papers citing "Cascading Biases: Investigating the Effect of Heuristic Annotation Strategies on Data and Models"

5 / 5 papers shown

Title
BiasX: "Thinking Slow" in Toxic Content Moderation with Explanations of Implied Social Biases Yiming Zhang Sravani Nanduri Liwei Jiang Tongshuang Wu Maarten Sap 47 7 0 23 May 2023
Measure and Improve Robustness in NLP Models: A Survey Xuezhi Wang Haohan Wang Diyi Yang 139 130 0 15 Dec 2021
"Will You Find These Shortcuts?" A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification Jasmijn Bastings Sebastian Ebert Polina Zablotskaia Anders Sandholm Katja Filippova 115 75 0 14 Nov 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 168 107 0 17 Apr 2021
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets Mor Geva Yoav Goldberg Jonathan Berant 242 320 0 21 Aug 2019