Question answering with textual sequence matching
Question answering (QA) is one of the most important applications in natural language processing. With the explosive text data from the Internet, intelligently getting answers of questions will help humans more efficiently collect useful information. My research in this thesis mainly focuses on solv...
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Main Author: | WANG, Shuohang |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2019
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Online Access: | https://ink.library.smu.edu.sg/etd_coll/197 https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1197&context=etd_coll |
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Institution: | Singapore Management University |
Language: | English |
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