科研|讲座

Building Dialog Systems with Less Supervision 讲座笔记

12月24日 · 2019年

Building Dialog Systems with Less Supervision 讲座笔记

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Lack of data is the number one challenge in deploying end-to-end trainable dialog systems for real-world applications. This talk will cover how to use learning methods to train a good model with less supervision. We will talk about how to integrate data augmentation, intermedia scaffolds, meta-learning to move towards the next-generation data-efficient dialog systems. We will briefly describe how to ensure the safety of the deployed system as well....