Corpus ID: 214802166

Prerequisites for Explainable Machine Reading Comprehension: A Position Paper

@article{Sugawara2020PrerequisitesFE,
  title={Prerequisites for Explainable Machine Reading Comprehension: A Position Paper},
  author={Saku Sugawara and Pontus Stenetorp and Akiko Aizawa},
  journal={ArXiv},
  year={2020},
  volume={abs/2004.01912}
}
Machine reading comprehension (MRC) has received considerable attention in natural language processing over the past few years. However, the conventional task design of MRC lacks the explainability beyond the model interpretation, i.e., the internal mechanics of the model cannot be explained in human terms. To this end, this position paper provides a theoretical basis for the design of MRC based on psychology and psychometrics and summarizes it in terms of the requirements for explainable MRC… Expand
1 Citations

References

SHOWING 1-10 OF 110 REFERENCES
Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets
  • 22
  • PDF
RC-QED: Evaluating Natural Language Derivations in Multi-Hop Reading Comprehension
  • 2
Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences
  • 151
  • Highly Influential
  • PDF
The NarrativeQA Reading Comprehension Challenge
  • 247
  • Highly Influential
  • PDF
What Makes Reading Comprehension Questions Easier?
  • 55
  • PDF
Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning
  • 87
  • PDF
Evaluation Metrics for Machine Reading Comprehension: Prerequisite Skills and Readability
  • 24
  • PDF
RACE: Large-scale ReAding Comprehension Dataset From Examinations
  • 424
  • Highly Influential
  • PDF
...
1
2
3
4
5
...