MedNLI Is Not Immune: Natural Language Inference Artifacts in the Clinical Domain

2 June 2021

Papers citing "MedNLI Is Not Immune: Natural Language Inference Artifacts in the Clinical Domain"

12 / 12 papers shown

Title
Diagnosing our datasets: How does my language model learn clinical information? Furong Jia David Sontag Monica Agrawal LM&MA 199 1 0 21 May 2025
Adversarial Filters of Dataset Biases Ronan Le Bras Swabha Swayamdipta Chandra Bhagavatula Rowan Zellers Matthew E. Peters Ashish Sabharwal Yejin Choi 117 223 0 10 Feb 2020
HellaSwag: Can a Machine Really Finish Your Sentence? Rowan Zellers Ari Holtzman Yonatan Bisk Ali Farhadi Yejin Choi 182 2,532 0 19 May 2019
ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing Mark Neumann Daniel King Iz Beltagy Bridger Waleed Ammar 72 686 0 20 Feb 2019
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference R. Thomas McCoy Ellie Pavlick Tal Linzen 143 1,244 0 04 Feb 2019
Lessons from Natural Language Inference in the Clinical Domain Alexey Romanov Chaitanya P. Shivade LM&MA 85 272 0 21 Aug 2018
Hypothesis Only Baselines in Natural Language Inference Adam Poliak Jason Naradowsky Aparajita Haldar Rachel Rudinger Benjamin Van Durme 241 580 0 02 May 2018
Performance Impact Caused by Hidden Bias of Training Data for Recognizing Textual Entailment Masatoshi Tsuchiya 61 161 0 22 Apr 2018
Annotation Artifacts in Natural Language Inference Data Suchin Gururangan Swabha Swayamdipta Omer Levy Roy Schwartz Samuel R. Bowman Noah A. Smith 155 1,180 0 06 Mar 2018
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference Adina Williams Nikita Nangia Samuel R. Bowman 524 4,497 0 18 Apr 2017
Bag of Tricks for Efficient Text Classification Armand Joulin Edouard Grave Piotr Bojanowski Tomas Mikolov VLM 183 4,632 0 06 Jul 2016
A large annotated corpus for learning natural language inference Samuel R. Bowman Gabor Angeli Christopher Potts Christopher D. Manning 326 4,297 0 21 Aug 2015