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SUMMARY:Practical Approaches to Conversational AI - Pei-Hao (Eddy) Su\, Po
 lyAI
DTSTART:20181018T100000Z
DTEND:20181018T110000Z
UID:TALK112237@talks.cam.ac.uk
CONTACT:Edoardo Maria Ponti
DESCRIPTION:*Abstract*: In this talk\, I will describe the status of the d
 ialogue research in the NLP community by providing the research background
 \, a survey of available resources\, and giving key insights to the applic
 ation of state-of-the-art dialogue methodology into industry-scale systems
 . Despite the phenomenal potential of deep learning methods in this sector
 \, very few of these approaches are production-ready. I will walk through 
 these approaches and summarise their pros and cons.\n\n*Bio*: Pei-Hao (Edd
 y) Su is a co-founder and Chief Scientist of PolyAI\, a London-based start
 up developing the next generation machine learning platform for building c
 onversational user interfaces. Eddy completed his PhD at the University of
  Cambridge\, working with Professor Steve Young. His research interests ce
 ntre on applying deep learning\, reinforcement learning and Bayesian appro
 aches to dialogue management and reward estimation. He received the best s
 tudent paper award at ACL 2016 on his dialogue work and has given a tutori
 al on deep learning for conversational AI at NAACL 2018. He was a research
  intern at Facebook AI Research in Summer 2017.
LOCATION:Board Room\, 1st floor\, English Faculty Building (Sidgwick site)
 \, 9 West Road\, Cambridge
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