How Does Data Corruption Affect Natural Language Understanding Models? A
Study on GLUE datasets

How Does Data Corruption Affect Natural Language Understanding Models? A Study on GLUE datasets

12 January 2022

Marianna Apidianaki

S. Chatzikyriakidis

Jörg Tiedemann

Papers citing "How Does Data Corruption Affect Natural Language Understanding Models? A Study on GLUE datasets"

4 / 4 papers shown

Title
The paradox of the compositionality of natural language: a neural machine translation case study Verna Dankers Elia Bruni Dieuwke Hupkes CoGe 162 75 0 12 Aug 2021
Out of Order: How Important Is The Sequential Order of Words in a Sentence in Natural Language Understanding Tasks? Thang M. Pham Trung Bui Long Mai Anh Totti Nguyen 209 122 0 30 Dec 2020
Hypothesis Only Baselines in Natural Language Inference Adam Poliak Jason Naradowsky Aparajita Haldar Rachel Rudinger Benjamin Van Durme 190 576 0 02 May 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,950 0 20 Apr 2018