Machine comprehension using match-LSTM and answer pointer

Machine comprehension using match-LSTM and answer pointer

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...

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Bibliographic Details
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
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Institution: Singapore Management University
Language: English

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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

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