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DTSTART:20190310T070000
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DTSTART;TZID=America/Toronto:20191204T110000
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URL:https://uwaterloo.ca/artificial-intelligence-group/events/masters-thesi
 s-presentation-unsupervised-multilingual
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 2306C Waterloo ON N2L 3G1 Canada
SUMMARY:Master’s Thesis Presentation: Unsupervised Multilingual Alignment
 \nusing Wasserstein Barycenter
CLASS:PUBLIC
DESCRIPTION:XIN LIAN\, MASTER’S CANDIDATE\n_D__avid R. Cheriton School of
  Computer Science_\n\nThe problem of language alignment has long been an e
 xciting topic for\nNatural Language Processing researchers. Current method
 s for learning\ncross-domain correspondences at the word level rely on dis
 tributed\nrepresentations of words. Therefore\, the recent development in 
 the\nword computational linguistics and neural language modeling has led t
 o\nthe development of the so-called zero-shot learning paradigm.
DTSTAMP:20260324T065033Z
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