**This is an old revision of the document!**


! Date

PDF PowerPoint Screencast Title
1 9/4/2014 PDF PPTX - Intro. to Natural Language Processing; Linguistic Ambiguity
2 9/9/2014 PDF PPTX - Why Data?
3 9/11/2014 PDF PPTX - Intro. to Language Modeling; n-Gram Language Models
4 9/16/2014 PDF PPTX - Language Model Smoothing with Interpolation
5 9/18/2014 PDF PPTX - Language Modeling Metrics; Language Model Smoothing with Discounting
6 9/23/2014 PDF PPTX - Good-Turing Smoothing
7 9/25/2014 PDF PPTX - Kneser-Ney Smoothing
8 9/30/2014 PDF PPTX - Learning Maximum Entropy Models (Logistic Regression)
9 10/7/2014 (to appear) (to appear) - Naive Bayes as Special Case of Logistic Regression
10 10/9/2014 PDF PPTX - The Power of Discriminative Models (Bridge from Logistic Regression to Neural Nets)
11 10/14/2014 PDF PPTX - Sequence Labeling; Maximum Entropy Markov Models
12 10/16/2014 PDF PPTX - Feature Engineering for Maximum Entropy Markov Models; Named Entity Recognition


BYU CS users also have full access to the posted lecture slides (including PowerPoint) via the CS department file-system. Connect to schizo, and check the following directory:

 /users/home1/faculty/ringger/public_html/Fall2014-CS679/lectures

cs-679/lectures.1413477300.txt.gz · Last modified: 2014/10/16 10:35 by ringger
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