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arXiv Open Access 2020

A Survey on Explainability in Machine Reading Comprehension

Mokanarangan Thayaparan Marco Valentino André Freitas
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Abstrak

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.

Topik & Kata Kunci

cs.CL cs.AI

Penulis (3)

M

Mokanarangan Thayaparan

M

Marco Valentino

A

André Freitas

Format Sitasi

APA MLA BibTeX
Thayaparan, M., Valentino, M., Freitas, A. (2020). A Survey on Explainability in Machine Reading Comprehension. https://arxiv.org/abs/2010.00389

Akses Cepat

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Informasi Jurnal
Tahun Terbit
2020
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓