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Reinforcement learning-driven deep question generation with rich semantics
Institution:1. College of Management, Shenzhen University, Shenzhen, China, 518055;2. Greater Bay Area International Institute for Innovations, Shenzhen University, Shenzhen, China, 518055;3. Shenzhen University, Shenzhen, China, 518055;4. School of Logistics, Yunnan University of Finance and Economics, Kunming, 650221, China;1. Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University and Shenzhen Key Laboratory of Spatial Smart Sensing and Services and MNR Technology Innovation Center of Territorial and Spatial Big Data and Guangdong–Hong Kong-Macau Joint Laboratory for Smart Cities, Shenzhen 518060, China;2. Logistics Information Centre, Beijing 100842, China;3. Department of Game Design, Faculty of Arts, Uppsala University, Sweden
Abstract:
Keywords:Deep question generation  Reinforcement learning  Semantic graphs  Gated Graph Neural Network
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