为方便大家学习，小管家整理出昨天 “CUHK-Shenzhen数据科学学院讲座” 的直播回放，本期分享主题是：《Neural Language Generation: From SelfSupervised Representation Learning to Multimodal Contextualization》，由Nancy CHEN进行分享。

下面是本次直播回顾：

Nancy CHEN

The recent rapid advancements of neural language models have awed both domain experts and laymen alike. Such language models can fuel many natural language generation applications, including summarization, conversational agents, and machine translation.
In this talk, we will illustrate how to harness the capabilities of these language models from a research perspective to address on-going technical challenges. In particular, we will delve into four researchthemes: scalable data augmentation, factually consistent generation, controllable neural modelling, and multimodal contextualization.
至此，本期讲座圆满结束。语音之家将持续为大家带来干货满满的技术分享，敬请关注！