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Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and Resources
Machine Reading Comprehension (MRC) aims to extract answers to questions...
08/24/2020 ∙ by Taolin Zhang, et al. ∙
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Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining
Pre-trained neural language models bring significant improvement for var...
03/29/2020 ∙ by Chengyu Wang, et al. ∙
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KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification
Lexical relations describe how concepts are semantically related, in the...
02/25/2020 ∙ by Chengyu Wang, et al. ∙
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Hyper-Meta Reinforcement Learning with Sparse Reward
Despite their success, existing meta reinforcement learning methods stil...
02/11/2020 ∙ by Yun Hua, et al. ∙
9
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Learning Robust Representations with Graph Denoising Policy Network
Graph representation learning, aiming to learn low-dimensional represent...
10/04/2019 ∙ by Lu Wang, et al. ∙
21
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Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation
Dynamic treatment recommendation systems based on large-scale electronic...
07/04/2018 ∙ by Lu Wang, et al. ∙
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