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DTSTART;TZID=America/Toronto:20060324T113000
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URL:https://uwaterloo.ca/artificial-intelligence-group/events/ai-seminar-se
 mi-supervised-multi-view-hmms-learning
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 2306C (AI lab) Waterloo ON N2L 3G1 Canada
SUMMARY:AI seminar: Semi-supervised multi-view HMMs learning for informatio
 n\nextraction
CLASS:PUBLIC
DESCRIPTION:Speaker: Zhenmei Gu\n\nIn information extraction (IE)\, trainin
 g statistical models like HMMs\n(hidden Markov models) usually requires a 
 considerably large set of\nlabeled data. Such a requirement may not be eas
 ily met in a practical\nIE application. In this talk\, we investigate how 
 to adapt a fully\nsupervised IE learner to a semi-supervised one so that t
 he learner is\nable to make use of unlabeled data to help train a more rob
 ust model\nfrom very limited labeled data.
DTSTAMP:20260313T205147Z
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