The UBC Deep Learning & Natural Language Processing Group (DLNLP) focuses on deep representation learning and natural language socio-pragmatics. Their research aims to build social machines for improved human health, safer social networking, and reduced information overload. Their projects include Machine Translation, Language Modeling, Speech Processing, Misinformation research, Representation Learning, and Computational Socio-pragmatics, with a team of researchers including postdoctoral fellows and PhD students.
• speech processing
• language modeling
• machine translation
• representation learning
• misinformation detection
• computational socio-pragmatics
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