Machine comprehension using match-LSTM and answer pointer

• Main Authors: WANG, Shuohang, Jing JIANG
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2017
• Subjects: Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/3654; https://ink.library.smu.edu.sg/context/sis_research/article/4656/viewcontent/15._Apr04_2017___Machine_Comprehension_Using_Match__LSTM_And_Answer_Pointer__ICLR2017_.pdf
• Institution: Singapore Management University

Machine comprehension of text is an important problem in natural language processing. A recently released dataset, the Stanford Question Answering Dataset (SQuAD), offers a large number of real questions and their answers created by humans through crowdsourcing. SQuAD provides a challenging testbed...