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About Applying Deep Learning to Answer Selection - A Study and an Open Task
We apply a general deep learning framework to address the non-factoid question answering task. Our approach does not rely on any linguistic tools and can be applied to different lan- guages or domains. Various architectures are presented and compared. We create and release a QA corpus and setup a new QA task in the insurance domain. Experimental results demonstrate superior performance compared to the baseline methods and various technologies give further improvements. For this highly challenging task, the top-1 accuracy can reach up to 65.3% on a test set, which indicates a great potential for practical use.
Detailed Information
| Author: | ['viterbi kkk'] |
|---|---|
| Publication Year: | 2018 |
| Pages: | 8 |
| Language: | English |
| Format: | |
| Price: | FREE |
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