CLJun 30, 2019
Machine Reading Comprehension: a Literature Review
arXiv:1907.01686v132 citations
Originality Synthesis-oriented
AI Analysis
It provides a literature review for researchers in AI, but is incremental as it synthesizes existing work without new results.
The paper reviews recent advances in machine reading comprehension, summarizing characteristics of various corpora and describing main ideas of typical techniques.
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.