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Question Answering&Reading Comprehension

Question Answering andQANet

https://drive.google.com/file/d/1Mw6JZ9k0e8ajfiQ8uI-VP2my96DJINr4/view

DrQA(This is a PyTorch implementation of the DrQA system described in the ACL 2017 paper Reading Wikipedia to Answer Open-Domain Questions):https://github.com/facebookresearch/DrQA

R^3: Reinforced Ranker-Reader for Open-Domain Question Answering, AAAI'18 https://arxiv.org/pdf/1709.00023.pdf

Reinforcement Learning Summer School (RLSS 2017) https://yobibyte.github.io/rlss17.html#

DL & RL Summer School 2017: https://mila.quebec/en/cours/deep-learning-summer-school-2017/slides/

TextWorld: A Learning Environment for Text-based Games https://www.microsoft.com/en-us/research/project/textworld/#!publications & https://arxiv.org/pdf/1806.11532.pdf

IBM blog of AI:https://www.ibm.com/blogs/research/category/ai/

  • 发表于:
  • 原文链接https://kuaibao.qq.com/s/20180804G1CNYY00?refer=cp_1026
  • 腾讯「腾讯云开发者社区」是腾讯内容开放平台帐号(企鹅号)传播渠道之一,根据《腾讯内容开放平台服务协议》转载发布内容。
  • 如有侵权,请联系 cloudcommunity@tencent.com 删除。

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