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DTSTART:20190310T070000
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DTSTART:20191103T060000
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DTSTART;TZID=America/Toronto:20200127T103000
SEQUENCE:0
TRANSP:TRANSPARENT
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URL:https://uwaterloo.ca/artificial-intelligence-group/events/ai-seminar-co
 ld-start-universal-information-extraction
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 1304 Waterloo ON N2L 3G1 Canada
SUMMARY:AI Seminar: Cold-Start Universal Information Extraction
CLASS:PUBLIC
DESCRIPTION:LIFU HUANG\, DEPARTMENT OF COMPUTER SCIENCE\n_University of Ill
 inois at Urbana–Champaign_\n\nWho? What? When? Where? Why? are fundament
 al questions asked when\ngathering knowledge about and understanding a con
 cept\, topic\, or\nevent. The answers to these questions underpin the key 
 information\nconveyed in the overwhelming majority\, if not all\, of langu
 age-based\ncommunication. Unfortunately\, typical machine learning models 
 and\nInformation Extraction (IE) techniques heavily rely on human annotate
 d\ndata\, which is usually very expensive and only available and compiled\
 nfor very limited types or languages\, rendering them incapable of\ndealin
 g with information across various domains\, languages\, or other\nsettings
 .
DTSTAMP:20260315T140829Z
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