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Teaching Syntax by Adversarial Distraction

Teaching Syntax by Adversarial Distraction

25 October 2018
Juho Kim
Christopher Malon
Asim Kadav
ArXivPDFHTML

Papers citing "Teaching Syntax by Adversarial Distraction"

6 / 6 papers shown
Title
Can current NLI systems handle German word order? Investigating language
  model performance on a new German challenge set of minimal pairs
Can current NLI systems handle German word order? Investigating language model performance on a new German challenge set of minimal pairs
Ines Reinig
K. Markert
16
0
0
07 Jun 2023
Linear Connectivity Reveals Generalization Strategies
Linear Connectivity Reveals Generalization Strategies
Jeevesh Juneja
Rachit Bansal
Kyunghyun Cho
João Sedoc
Naomi Saphra
242
45
0
24 May 2022
Fast Few-shot Debugging for NLU Test Suites
Fast Few-shot Debugging for NLU Test Suites
Christopher Malon
Kai Li
E. Kruus
24
4
0
13 Apr 2022
Syntactic Data Augmentation Increases Robustness to Inference Heuristics
Syntactic Data Augmentation Increases Robustness to Inference Heuristics
Junghyun Min
R. Thomas McCoy
Dipanjan Das
Emily Pitler
Tal Linzen
30
175
0
24 Apr 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
A Decomposable Attention Model for Natural Language Inference
A Decomposable Attention Model for Natural Language Inference
Ankur P. Parikh
Oscar Täckström
Dipanjan Das
Jakob Uszkoreit
210
1,367
0
06 Jun 2016
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