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NLI Data Sanity Check: Assessing the Effect of Data Corruption on Model
  Performance

NLI Data Sanity Check: Assessing the Effect of Data Corruption on Model Performance

10 April 2021
Aarne Talman
Marianna Apidianaki
S. Chatzikyriakidis
Jörg Tiedemann
ArXivPDFHTML

Papers citing "NLI Data Sanity Check: Assessing the Effect of Data Corruption on Model Performance"

3 / 3 papers shown
Title
Out of Order: How Important Is The Sequential Order of Words in a
  Sentence in Natural Language Understanding Tasks?
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
207
122
0
30 Dec 2020
Hypothesis Only Baselines in Natural Language Inference
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
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
294
6,943
0
20 Apr 2018
1