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A Survey on Machine Reading Comprehension—Tasks, Evaluation Metrics and Benchmark Datasets
2020
Applied Sciences
Machine Reading Comprehension (MRC) is a challenging Natural Language Processing (NLP) research field with wide real-world applications. The great progress of this field in recent years is mainly due to the emergence of large-scale datasets and deep learning. At present, a lot of MRC models have already surpassed human performance on various benchmark datasets despite the obvious giant gap between existing MRC models and genuine human-level reading comprehension. This shows the need for
doi:10.3390/app10217640
fatcat:e6rioqqdnbdqpimpxzvowhgv7a