DuReader_robust: A Chinese Dataset Towards Evaluating Robustness and
  Generalization of Machine Reading Comprehension in Real-World Applications
v1v2 (latest)

DuReader_robust: A Chinese Dataset Towards Evaluating Robustness and Generalization of Machine Reading Comprehension in Real-World Applications

Papers citing "DuReader_robust: A Chinese Dataset Towards Evaluating Robustness and Generalization of Machine Reading Comprehension in Real-World Applications"

12 / 12 papers shown
Title
The Impacts of Unanswerable Questions on the Robustness of Machine
  Reading Comprehension Models
The Impacts of Unanswerable Questions on the Robustness of Machine Reading Comprehension ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
111
9
0
31 Jan 2023
Multitask Pre-training of Modular Prompt for Chinese Few-Shot Learning
Multitask Pre-training of Modular Prompt for Chinese Few-Shot LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Tianxiang Sun
Zhengfu He
Qinen Zhu
Xipeng Qiu
Xuanjing Huang
125
22
0
14 Oct 2022

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