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Machine Reading Comprehension: a Literature Review

Computation and Language 2019-07-04 v1
Authors: Xin Zhang , An Yang , Sujian Li , Yizhong Wang
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Abstract

Machine reading comprehension aims to teach machines to understand a text like a human and is a new challenging direction in Artificial Intelligence. This article summarizes recent advances in MRC, mainly focusing on two aspects (i.e., corpus and techniques). The specific characteristics of various MRC corpus are listed and compared. The main ideas of some typical MRC techniques are also described.

Keywords

machine translation machine learning artificial intelligence

Cite

@article{arxiv.1907.01686,
  title  = {Machine Reading Comprehension: a Literature Review},
  author = {Xin Zhang and An Yang and Sujian Li and Yizhong Wang},
  journal= {arXiv preprint arXiv:1907.01686},
  year   = {2019}
}

Comments

46 pages, preprint version

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