UBC Deep Learning & Natural Language Processing Group
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About
UBC Deep Learning & Natural Language Processing Group (DLNLP) conducts research in deep representation learning and natural language socio-pragmatics. Their primary goal is to develop social machines aimed at improving human health, enhancing safety in social networking, and mitigating information overload. Key research areas include Speech Processing (digital dictation and speech recognition), Deep Learning Research (engineering and training neural networks across various domains), and Natural Language Processing (understanding and generation).
Platform
Features
• natural language processing
• speech processing
• deep learning research
• information overload reduction
• safer social networking
• social machines for health
• natural language socio-pragmatics
• deep representation learning
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