Before revision:  This method is evaluated on our proposed dataset including 2,783 pairs of multiple-choice questions and answers based on a set of 417 Vietnamese texts used for teaching reading comprehension for 1st to 5th graders. The objectives of this research are two main contributions: (1) to develop a human-generated benchmark dataset for the low-resourced Vietnamese language for the machine reading comprehension; and (2) to evaluate machine reading comprehension techniques using lexical-based approaches, neural-based approaches, and our proposed method.
After revision:  This method is evaluated on our proposed dataset including 2,783 pairs of multiple-choice questions and answers based on a set of 417 Vietnamese texts used for teaching reading comprehension for elementary school pupils. In addition, we propose a lexical-based approaches, neural-based approaches, and our proposed method.