Exploring and Exploiting Multi-Granularity Representations for Machine Reading Comprehension

@article{Chen2022ExploringAE,
  title={Exploring and Exploiting Multi-Granularity Representations for Machine Reading Comprehension},
  author={Nuo Chen and Chenyu You},
  journal={ArXiv},
  year={2022},
  volume={abs/2208.08750}
}
Recently, the attention-enhanced multi-layer encoder, such as Transformer, has been extensively studied in Machine Reading Comprehension (MRC). To predict the answer, it is common practice to employ a predictor to draw information only from the final encoder layer which generates the coarse-grained representations of the source sequences, i.e., passage and question. The analysis shows that the representation of source sequence becomes more coarse-grained from fine-grained as the encoding layer… 

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