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SUMMARY:Towards Advanced Conversational Systems - G. Wu\, Maluuba
DTSTART:20151111T120000Z
DTEND:20151111T130000Z
UID:TALK62170@talks.cam.ac.uk
CONTACT:Anton Ragni
DESCRIPTION:Conversational Systems provide a natural way for human\nintera
 ction. One conversational system is usually composed by spoken language un
 derstanding\, state tracking\, dialogue manager and natural language gener
 ation subsystems. The current methods are usually limited by small number 
 of domains it can support and\nthe inflexible dialogue manager. In additio
 n\, it's difficult to make use of the user feedback to improve the system.
  In this talk\, we will talk about the practice of applying deep learning 
 algorithms to solve some of these problems in Maluuba and also list the ma
 in challenges for this problem. 
LOCATION:Department of Engineering - LR11
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