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Ensemble Learning-Based Approach for Improving Generalization Capability of Machine Reading Comprehension Systems
The experimental results show the effectiveness and robustness of the ensemble approach in improving the out-of-distribution accuracy of MRC systems, especially when the base models are similar in accuracies.
Zero-Shot Estimation of Base Models' Weights in Ensemble of Machine Reading Comprehension Systems for Robust Generalization
One of the main challenges of the machine reading comprehension (MRC) models is their fragile out-of-domain generalization, which makes these models not properly applicable to real-world general-purpose question answering problems.
A Survey on Machine Reading Comprehension Systems
We illustrate the recent trends in this field based on 241 reviewed papers from 2016 to 2020.
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