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DTSTART:20200308T070000
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DTSTART:20191103T060000
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UID:69d2571a97a33
DTSTART;TZID=America/Toronto:20200818T143000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20200818T143000
URL:https://uwaterloo.ca/computer-science/events/masters-thesis-presentatio
 n-machine-learning-dialog-response-generation-using-adversarially-learned-
 latent-bag-of-words
LOCATION:200 University Avenue West Online presentation Waterloo ON N2L 3G1
  Canada
SUMMARY:Master’s Thesis Presentation • Machine Learning — Dialog\nRes
 ponse Generation Using Adversarially Learned Latent Bag-of-Words
CLASS:PUBLIC
DESCRIPTION:PLEASE NOTE: THIS MASTER’S THESIS PRESENTATION WILL BE GIVEN 
 ONLINE.\n\nKASHIF KHAN\, MASTER’S CANDIDATE\n_David R. Cheriton School 
 of Computer Science_\n\nDialog response generation is the task of generati
 ng response\nutterance given a query utterance. Apart from generating rele
 vant and\ncoherent responses\, one would like the dialog generation model 
 to\ngenerate diverse and informative sentences.
DTSTAMP:20260405T123538Z
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