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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| Main Authors: | , |
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2017
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| 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 |