Duration: 1:32:25

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Deep learning has enjoyed tremendous success in recent years in speech and visual object recognition, as well as in language processing (although to somewhat less extent). The focus of this session is on deep learning approaches to problems in language or text processing, with particular emphasis on important applications with vital significance to Microsoft. First, we will have both academic and Microsoft Research experts provide a tutorial on the latest deep learning technology, presenting both theoretical and practical perspectives on common methods of deep neural networks and recurrent, recursive, stacking, and convolutional networks. We will highlight special challenges faced by language/text processing, and elaborate on how new deep learning technologies are poised to fundamentally address these issues. We will share Microsoft Research's experience in developing Deep-Structured Semantic Models (DSSM) and their successful applications to web search, ads selection, machine translation, and entity search.