Learning the Difference that Makes a Difference with Counterfactually-Augmented Data

26 September 2019

Papers citing "Learning the Difference that Makes a Difference with Counterfactually-Augmented Data"

7 / 157 papers shown

Title
DQI: Measuring Data Quality in NLP Swaroop Mishra Anjana Arunkumar Bhavdeep Singh Sachdeva Chris Bryan Chitta Baral 36 30 0 02 May 2020
Experience Grounds Language Yonatan Bisk Ari Holtzman Jesse Thomason Jacob Andreas Yoshua Bengio ... Angeliki Lazaridou Jonathan May Aleksandr Nisnevich Nicolas Pinto Joseph P. Turian 21 351 0 21 Apr 2020
Evaluating Models' Local Decision Boundaries via Contrast Sets Matt Gardner Yoav Artzi Victoria Basmova Jonathan Berant Ben Bogin ... Sanjay Subramanian Reut Tsarfaty Eric Wallace Ally Zhang Ben Zhou ELM 40 84 0 06 Apr 2020
Beat the AI: Investigating Adversarial Human Annotation for Reading Comprehension Max Bartolo A. Roberts Johannes Welbl Sebastian Riedel Pontus Stenetorp AAML 26 167 0 02 Feb 2020
Detecting Local Insights from Global Labels: Supervised & Zero-Shot Sequence Labeling via a Convolutional Decomposition A. Schmaltz 19 8 0 04 Jun 2019
Hypothesis Only Baselines in Natural Language Inference Adam Poliak Jason Naradowsky Aparajita Haldar Rachel Rudinger Benjamin Van Durme 190 576 0 02 May 2018
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks Mohit Iyyer John Wieting Kevin Gimpel Luke Zettlemoyer AAML GAN 205 712 0 17 Apr 2018