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cs-679:lectures [2014/10/16 10:35]
ringger
cs-679:lectures [2014/12/10 08:52]
ringger
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 ! PowerPoint ! PowerPoint
 ! Screencast ! Screencast
 +! Supplement
 ! Title ! Title
 |- |-
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 | [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture01-intro.pdf PDF] | [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture01-intro.pdf PDF]
 | [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture01-intro.pptx PPTX] | [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture01-intro.pptx PPTX]
-| -+--- 
 +| ---
 | Intro. to Natural Language Processing; Linguistic Ambiguity | Intro. to Natural Language Processing; Linguistic Ambiguity
 |- |-
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 | [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture02-whydata.pdf PDF] | [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture02-whydata.pdf PDF]
 | [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture02-whydata.pptx PPTX] | [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture02-whydata.pptx PPTX]
-| -+--- 
 +| ---
 | Why Data? | Why Data?
 |- |-
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 | [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture03-lmintro.pdf PDF] | [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture03-lmintro.pdf PDF]
 | [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture03-lmintro.pptx PPTX] | [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture03-lmintro.pptx PPTX]
-| -+--- 
 +| ---
 | Intro. to Language Modeling; n-Gram Language Models | Intro. to Language Modeling; n-Gram Language Models
 |- |-
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 | [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture04-interpolation.pdf PDF] | [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture04-interpolation.pdf PDF]
 | [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture04-interpolation.pptx PPTX] | [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture04-interpolation.pptx PPTX]
-| -+--- 
 +| ---
 | Language Model Smoothing with Interpolation | Language Model Smoothing with Interpolation
 |- |-
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 | [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture05-lmdiscount.pdf PDF] | [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture05-lmdiscount.pdf PDF]
 | [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture05-lmdiscount.pptx PPTX] | [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture05-lmdiscount.pptx PPTX]
-| -+--- 
 +| ---
 | Language Modeling Metrics; Language Model Smoothing with Discounting | Language Modeling Metrics; Language Model Smoothing with Discounting
 |- |-
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 | [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture06-goodturing.pdf PDF] | [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture06-goodturing.pdf PDF]
 | [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture06-goodturing.pptx PPTX] | [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture06-goodturing.pptx PPTX]
-| -+--- 
 +| ---
 | Good-Turing Smoothing | Good-Turing Smoothing
 |- |-
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 | [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture07-kneserney.pdf PDF] | [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture07-kneserney.pdf PDF]
 | [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture07-kneserney.pptx PPTX] | [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture07-kneserney.pptx PPTX]
-| -+--- 
 +| ---
 | Kneser-Ney Smoothing | Kneser-Ney Smoothing
 |- |-
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 | [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture08-maxent.pdf PDF] | [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture08-maxent.pdf PDF]
 | [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture08-maxent.pptx PPTX] | [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture08-maxent.pptx PPTX]
-| -+--- 
 +| ---
 | Learning Maximum Entropy Models (Logistic Regression) | Learning Maximum Entropy Models (Logistic Regression)
 |- |-
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 | (to appear) | (to appear)
 | (to appear) | (to appear)
-| -+--- 
 +| ---
 | Naive Bayes as Special Case of Logistic Regression | Naive Bayes as Special Case of Logistic Regression
 |- |-
Line 75: Line 85:
 | [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture10-neuralnets.pdf PDF] | [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture10-neuralnets.pdf PDF]
 | [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture10-neuralnets.pptx PPTX] | [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture10-neuralnets.pptx PPTX]
-| -+--- 
 +| ---
 | The Power of Discriminative Models (Bridge from Logistic Regression to Neural Nets) | The Power of Discriminative Models (Bridge from Logistic Regression to Neural Nets)
 |- |-
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 | [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture11-memm.pdf PDF] | [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture11-memm.pdf PDF]
 | [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture11-memm.pptx PPTX] | [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture11-memm.pptx PPTX]
-| -+--- 
 +| ---
 | Sequence Labeling; Maximum Entropy Markov Models | Sequence Labeling; Maximum Entropy Markov Models
 |- |-
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 | [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture12-namedentity.pdf PDF] | [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture12-namedentity.pdf PDF]
 | [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture12-namedentity.pptx PPTX] | [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture12-namedentity.pptx PPTX]
-| -+--- 
 +| ---
 | Feature Engineering for Maximum Entropy Markov Models; Named Entity Recognition | Feature Engineering for Maximum Entropy Markov Models; Named Entity Recognition
 +|-
 +| 13
 +| 10/21/2014
 +| [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture13-undirectedgm.pdf PDF]
 +| ---
 +| ---
 +| [http://​users.soe.ucsc.edu/​~niejiazhong/​slides/​murphy.pdf Murphy Tutorial]
 +| Introduction to Undirected Graphical Models
 +|-
 +| 14
 +| 10/23/2014
 +| [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture13-undirectedgm.pdf PDF]
 +| ---
 +| ---
 +| [http://​users.soe.ucsc.edu/​~niejiazhong/​slides/​murphy.pdf 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
 +| [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture18-intropcfg.pdf PDF]
 +| [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture18-intropcfg.pptx PPTX]
 +| ---
 +| ---
 +| Intro. to Parsing: Probabilistic Context Free Grammars (PCFGs)
 +|-
 +| 19, 20
 +| 11/13/2014
 +| [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture19-indep.pdf PDF], [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture20-pcky.pdf PDF]
 +| [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture19-indep.pptx PPTX], [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture20-pcky.pptx PPTX]
 +| ---
 +| ---
 +| Independence assumptions in PCFGs; CKY parsing algorithm; PCKY algorithm; Analysis of PCKY
 +|-
 +| 21, 22
 +| 11/18/2014
 +| [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture21-markovized.pdf PDF], [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture22-markovgrammar.pdf PDF]
 +| [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture21-markovized.pptx PPTX], [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture22-markovgrammar.pptx PPTX]
 +| ---
 +| ---
 +| PCFG Transformations:​ Markovization,​ Binarization;​ More probabilistic generative syntax models: Markov grammars, Lexicalized grammars
 +|-
 +| 23
 +| 11/20/2014
 +| [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture22-markovgrammar.pdf PDF]
 +| [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture22-markovgrammar.pptx PPTX]
 +| ---
 +| ---
 +| Dependency Parsing
 +|-
 +| -
 +| 11/25/2014
 +| ---
 +| ---
 +| ---
 +| ---
 +| Student Paper Presentations
 +|-
 +| 24
 +| 12/2/2014
 +| [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture24-intromt.pdf PDF]
 +| [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture24-intromt.pptx PPTX]
 +| ---
 +| ---
 +| Intro. to Machine Translation;​ Word Alignment Models: IBM Model 1; Training Model 1 with EM
 +|-
 +| 25
 +| 12/4/2014
 +| [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture25-mtwordalign2.pdf PDF]
 +| [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture25-mtwordalign2.pptx PPTX]
 +| ---
 +| ---
 +| Modeling Distortion (word movement); IBM Model 2; Training Model 2 with EM
 +|-
 +| 26, 27
 +| 12/9/2014
 +| [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture26-mtwordalign3.pdf PDF], [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture27-decoding.pdf PDF]
 +| [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture26-mtwordalign3.pptx PPTX], [http://​faculty.cs.byu.edu/​~ringger/​Fall2014-CS679/​lectures/​Lecture27-decoding.pptx PPTX]
 +| ---
 +| ---
 +| Modeling "​Fertility";​ Cascaded Training; Choosing Alignments; Evaluating Alignments; Decoding / Translation;​ Translation Metrics
 |- |-
 |} |}
 +
  
 ---- ----
cs-679/lectures.txt · Last modified: 2014/12/10 08:52 by ringger
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