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! Date |
PowerPoint | Screencast | Supplement | Title | ||
|---|---|---|---|---|---|---|
| 1 | 9/4/2014 | PPTX | — | — | Intro. to Natural Language Processing; Linguistic Ambiguity | |
| 2 | 9/9/2014 | PPTX | — | — | Why Data? | |
| 3 | 9/11/2014 | PPTX | — | — | Intro. to Language Modeling; n-Gram Language Models | |
| 4 | 9/16/2014 | PPTX | — | — | Language Model Smoothing with Interpolation | |
| 5 | 9/18/2014 | PPTX | — | — | Language Modeling Metrics; Language Model Smoothing with Discounting | |
| 6 | 9/23/2014 | PPTX | — | — | Good-Turing Smoothing | |
| 7 | 9/25/2014 | PPTX | — | — | Kneser-Ney Smoothing | |
| 8 | 9/30/2014 | 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 | PPTX | — | — | The Power of Discriminative Models (Bridge from Logistic Regression to Neural Nets) | |
| 11 | 10/14/2014 | PPTX | — | — | Sequence Labeling; Maximum Entropy Markov Models | |
| 12 | 10/16/2014 | PPTX | — | — | Feature Engineering for Maximum Entropy Markov Models; Named Entity Recognition | |
| 13 | 10/21/2014 | — | — | Murphy Tutorial | Introduction to Undirected Graphical Models | |
| 14 | 10/23/2014 | — | — | Murphy Tutorial | Introduction to Undirected Graphical Models (continued) | |
| 15 | 10/28/2014 | — | — | — | — | Introduction to Undirected Graphical Models (continued) |
| 16 | 10/30/2014 | — | — | — | — | Solutions to your tagging problems |
| 17 | 11/3/2014 | — | — | — | — | Introduction to Undirected Graphical Models (continued) |
| 18 | 11/11/2014 | PPTX | — | — | Intro. to Parsing: Probabilistic Context Free Grammars (PCFGs) | |
| 19, 20 | 11/13/2014 | PDF, PDF | PPTX, PPTX | — | — | Independence assumptions in PCFGs; CKY parsing algorithm; PCKY algorithm; Analysis of PCKY |
| 21, 22 | 11/18/2014 | PDF, PDF | PPTX, PPTX | — | — | PCFG Transformations: Markovization, Binarization; More probabilistic generative syntax models: Markov grammars, Lexicalized grammars |
| 23 | 11/20/2014 | PPTX | — | — | Dependency Parsing | |
| - | 11/25/2014 | — | — | — | — | Student Paper Presentations |
| 24 | 12/2/2014 | PPTX | — | — | Intro. to Machine Translation; Word Alignment Models: IBM Model 1; Training Model 1 with EM | |
| 25 | 12/4/2014 | PPTX | — | — | Modeling Distortion (word movement); IBM Model 2; Training Model 2 with EM | |
| 26, 27 | 12/9/2014 | PDF, PDF | PPTX, PPTX | — | — | Modeling “Fertility”; Cascaded Training; Choosing Alignments; Evaluating Alignments; Decoding / Translation; Translation Metrics |
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/lecturesBack to top
