Accelerating Natural Language Understanding in Task-Oriented Dialog

WS 2020 Ojas AhujaShrey Desai

Task-oriented dialog models typically leverage complex neural architectures and large-scale, pre-trained Transformers to achieve state-of-the-art performance on popular natural language understanding benchmarks. However, these models frequently have in excess of tens of millions of parameters, making them impossible to deploy on-device where resource-efficiency is a major concern... (read more)

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