1 research outputs found
A Survey on Explainability in Machine Reading Comprehension
This paper presents a systematic review of benchmarks and approaches for
explainability in Machine Reading Comprehension (MRC). We present how the
representation and inference challenges evolved and the steps which were taken
to tackle these challenges. We also present the evaluation methodologies to
assess the performance of explainable systems. In addition, we identify
persisting open research questions and highlight critical directions for future
work