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CS 272
Lecture 11: Hidden Markov Models
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CS 272
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Lecture 11: Hidden Markov Models
Winter 2020
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Lecture 11: Hidden Markov Models
Topics
Neural Sequence Tagging
;
Recurrent Modules: RNNs, GRUs, LSTMs
Hidden Markov Models
Viterbi Decoding
Readings:
JM Chp8
Links to an external site.
Video
Slides:
lecture-11-HMMs.pdf
Download lecture-11-HMMs.pdf
Other Links
Collins' Notes on HMMs
(Links to an external site.)
;
Demo of extended NER from Dan Roth
(Links to an external site.)
;
Summary 1 Assignments
Lecture 12: Conditional Random Fields