%0 Report
%9 Technical Report
%A Nguyen, Hong-Thinh
%C University of Engineering and Technology
%D 2017
%F SisLab:2912
%I Signal and System Laboratory
%K RNN, Natural Language Processing
%T RNN on Machine Reading Comprehension Bi-Directional Attention Flow model
%U https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2912/
%X Although end-to-end deep neural network have gained popularity in the last few years and have been successful in several Natural Language Processing tasks, reading comprehension remains a challenging one. In this report, we presents in details the popular Bi-Directional Attention Flow model which represents the context at different level and combined the context-to-query and query-to-context direction attention. All necessary background knowledge of general Recurrent Neural Network is also discussed.