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Selection Bias Explorations and Debias Methods for Natural Language
  Sentence Matching Datasets

Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets

15 May 2019
Guanhua Zhang
Bing Bai
Jian Liang
Kun Bai
Shiyu Chang
Mo Yu
Conghui Zhu
Tiejun Zhao
ArXivPDFHTML

Papers citing "Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets"

7 / 7 papers shown
Title
Biases in Scholarly Recommender Systems: Impact, Prevalence, and
  Mitigation
Biases in Scholarly Recommender Systems: Impact, Prevalence, and Mitigation
Michael Färber
Melissa Coutinho
Shuzhou Yuan
32
7
0
18 Jan 2023
Multi-Objective Few-shot Learning for Fair Classification
Multi-Objective Few-shot Learning for Fair Classification
Ishani Mondal
Procheta Sen
Debasis Ganguly
FaML
18
4
0
05 Oct 2021
On the Importance of Adaptive Data Collection for Extremely Imbalanced
  Pairwise Tasks
On the Importance of Adaptive Data Collection for Extremely Imbalanced Pairwise Tasks
Stephen Mussmann
Robin Jia
Percy Liang
29
15
0
10 Oct 2020
Why Attentions May Not Be Interpretable?
Why Attentions May Not Be Interpretable?
Bing Bai
Jian Liang
Guanhua Zhang
Hao Li
Kun Bai
Fei Wang
FAtt
25
56
0
10 Jun 2020
Towards Socially Responsible AI: Cognitive Bias-Aware Multi-Objective
  Learning
Towards Socially Responsible AI: Cognitive Bias-Aware Multi-Objective Learning
Procheta Sen
Debasis Ganguly
27
18
0
14 May 2020
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
56
23
0
05 Mar 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
194
576
0
02 May 2018
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