Enhance QANet by BERT for machine reading comprehension
The aim of this dissertation is to study the implementation of QANet on SQuAD for the machine reading comprehension task, and enhance QANet by introducing the contextual representation BERT architecture for the task. First of all, several techniques employed to capture the dependencies among words...
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| Format: | Thesis |
| Language: | English |
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2019
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| Online Access: | http://hdl.handle.net/10356/78809 |