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What If We Simply Swap the Two Text Fragments? A Straightforward yet
  Effective Way to Test the Robustness of Methods to Confounding Signals in
  Nature Language Inference Tasks

What If We Simply Swap the Two Text Fragments? A Straightforward yet Effective Way to Test the Robustness of Methods to Confounding Signals in Nature Language Inference Tasks

7 September 2018
Haohan Wang
Da-You Sun
Eric P. Xing
ArXivPDFHTML

Papers citing "What If We Simply Swap the Two Text Fragments? A Straightforward yet Effective Way to Test the Robustness of Methods to Confounding Signals in Nature Language Inference Tasks"

6 / 6 papers shown
Title
SMoA: Sparse Mixture of Adapters to Mitigate Multiple Dataset Biases
SMoA: Sparse Mixture of Adapters to Mitigate Multiple Dataset Biases
Yanchen Liu
Jing Yang
Yan Chen
Jing Liu
Huaqin Wu
MoE
32
2
0
28 Feb 2023
Generating Data to Mitigate Spurious Correlations in Natural Language
  Inference Datasets
Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets
Yuxiang Wu
Matt Gardner
Pontus Stenetorp
Pradeep Dasigi
19
67
0
24 Mar 2022
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
Aarne Talman
Marianna Apidianaki
S. Chatzikyriakidis
Jörg Tiedemann
12
10
0
10 Apr 2021
HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in
  Natural Language Inference
HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference
Tianyu Liu
Xin Zheng
Baobao Chang
Zhifang Sui
32
22
0
05 Mar 2020
A Logic-Driven Framework for Consistency of Neural Models
A Logic-Driven Framework for Consistency of Neural Models
Tao Li
Vivek Gupta
Maitrey Mehta
Vivek Srikumar
AI4CE
13
101
0
31 Aug 2019
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
187
576
0
02 May 2018
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