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DTSTART:20180311T070000
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DTSTART:20171105T060000
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UID:69df133ba9d57
DTSTART;TZID=America/Toronto:20180511T140000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20180511T140000
URL:https://uwaterloo.ca/computer-science/events/masters-thesis-presentatio
 n-artificial-intelligence-deep
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 2314 Waterloo ON N2L 3G1 Canada
SUMMARY:Master’s Thesis Presentation • Artificial Intelligence — Deep
 \nContext Resolution
CLASS:PUBLIC
DESCRIPTION:JUNNAN CHEN\, MASTER’S CANDIDATE\n_David R. Cheriton School o
 f Computer Science_\n\nConversations depend on information from the contex
 t. To go beyond\none-round conversation\, a chatbot must resolve contextua
 l information\nsuch as: 1) co-reference resolution\, 2) ellipsis resolutio
 n\, and 3)\nconjunctive relationship resolution.\n\nThere are simply not e
 nough data to avoid these problems by trying to\ntrain a sequence-to-seque
 nce model for multi-round conversation\nsimilar to that of one-round conve
 rsation.
DTSTAMP:20260415T042531Z
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