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Name:	Coursera / Stanford University Natural Language Processing
Usenet:	Downloads Anonymously to Unlimited data Access! Get Usenet Free Trial
Hash:	111E8DAD4AEC6FCCEFF2FB5C29DB95CD8F1F3D53
Category:	Audio Books
Peers:	Seeds: 0 & Leechers: 0
Size:	1.27 GB
Stream:	Watch Full HD Movies @ LimeMovies
Date:	22 October 2012

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Torrent Files Size: 1.27 GB
Natural Language Processing 17 - Week 6 - Dependency Parsing (Optional) 17 - 2 - Greedy Transition-Based Parsing (31_05).mp4 - 31.36 MB 11 - Week 5 - Advanced Maximum Entropy Models 11 - 4 - Smoothing_Regularization_Priors for Maxent Models (29_24).mp4 - 28.8 MB 15 - Week 6 - Probabilistic Parsing 15 - 3 - CKY Parsing (23_25).mp4 - 26.18 MB 14 - Week 5 - Instructor Chat 14 - 1 - Instructor Chat (9_02).mp4 - 23.78 MB 15 - Week 6 - Probabilistic Parsing 15 - 4 - CKY Example (21_52).mp4 - 23.44 MB 16 - Week 6 - Lexicalized Parsing 16 - 4 - The Return of Unlexicalized PCFGs (20_53).mp4 - 21.22 MB 18 - Week 7 - Information Retrieval 18 - 5 - Phrase Queries and Positional Indexes (19_45).mp4 - 20.6 MB 20 - Week 8.1 - Semantics 20 - 3 - Word Similarity and Thesaurus Methods (16_17).mp4 - 20.24 MB 16 - Week 6 - Lexicalized Parsing 16 - 2 - Charniak's Model (18_23).mp4 - 18.96 MB 07 - Week 3 - Sentiment Analysis 7 - 4 - Learning Sentiment Lexicons (14_45).mp4 - 18.65 MB 23 - Week 8 - Instructor Chat II 23 - 1 - Instructor Chat II (5_23).mp4 - 18.63 MB 05 - Week 2 - Spelling Correction 5 - 2 - The Noisy Channel Model of Spelling (19_30).mp4 - 17.79 MB 11 - Week 5 - Advanced Maximum Entropy Models 11 - 1 - The Maximum Entropy Model Presentation (12_14).mp4 - 17.28 MB 19 - Week 7 - Ranked Information Retrieval 19 - 6 - The Vector Space Model (16_22).mp4 - 16.93 MB 08 - Week 4 - Discriminative classifiers Maximum Entropy classifiers 8 - 2 - Making features from text for discriminative NLP models (18_11).mp4 - 16.66 MB 15 - Week 6 - Probabilistic Parsing 15 - 1 - CFGs and PCFGs (15_29).mp4 - 16.65 MB 06 - Week 3 - Text Classification 6 - 7 - Precision, Recall, and the F measure (16_16).mp4 - 15.72 MB 20 - Week 8.1 - Semantics 20 - 4 - Word Similarity_ Distributional Similarity I (13_14).mp4 - 15.03 MB 20 - 1 - Word Senses and Word Relations (11_50).mp4 - 14.89 MB 12 - Week 5 - POS Tagging 13 - 3 - The Exponential Problem in Parsing (14_30).mp4 - 14.87 MB 13 - Week 5 - Parsing Introduction 13 - 3 - The Exponential Problem in Parsing (14_30).mp4 - 14.87 MB 07 - Week 3 - Sentiment Analysis 7 - 5 - Other Sentiment Tasks (11_01).mp4 - 14.53 MB 09 - Week 4 - Named entity recognition and Maximum Entropy Sequence Models 9 - 3 - Sequence Models for Named Entity Recognition (15_05).mp4 - 14.15 MB 08 - Week 4 - Discriminative classifiers Maximum Entropy classifiers 8 - 3 - Feature-Based Linear Classifiers (13_34).mp4 - 13.46 MB 04 - Week 2 - Language Modeling 4 - 7 - Good-Turing Smoothing (15_35).mp4 - 13.44 MB 22 - Week 8 - Summarization 22 - 4 - Summarizing Multiple Documents.mp4 - 13.4 MB 09 - Week 4 - Named entity recognition and Maximum Entropy Sequence Models 9 - 4 - Maximum Entropy Sequence Models (13_01).mp4 - 13.3 MB 19 - Week 7 - Ranked Information Retrieval 19 - 7 - Calculating TF-IDF Cosine Scores (12_47).mp4 - 13.23 MB 07 - Week 3 - Sentiment Analysis 7 - 2 - Sentiment Analysis_ A baseline algorithm (13_27).mp4 - 13.18 MB 12 - Week 5 - POS Tagging 12 - 2 - Some Methods and Results on Sequence Models for POS Tagging (13_04).mp4 - 12.82 MB 11 - Week 5 - Advanced Maximum Entropy Models 11 - 2 - Feature Overlap_Feature Interaction (12_51).mp4 - 12.63 MB 16 - Week 6 - Lexicalized Parsing 16 - 5 - Latent Variable PCFGs (12_07).mp4 - 12.55 MB 02 - Week 1 - Basic Text Processing 2 - 3 - Word Tokenization (14_26).mp4 - 12.47 MB 01 - Week 1 - Course Introduction 1 - 1 - Course Introduction (14_11).mp4 - 12.26 MB 08 - Week 4 - Discriminative classifiers Maximum Entropy classifiers 8 - 5 - Generative vs. Discriminative models_ The problem of overcounting evidence (12_15).mp4 - 12.22 MB 15 - Week 6 - Probabilistic Parsing 15 - 2 - Grammar Transforms (12_05).mp4 - 12.05 MB 12 - Week 5 - POS Tagging 12 - 1 - An Intro to Parts of Speech and POS Tagging (13_19).mp4 - 11.88 MB 06 - Week 3 - Text Classification 6 - 8 - Text Classification_ Evaluation (7_17).mp4 - 11.54 MB 6 - 6 - Multinomial Naive Bayes_ A Worked Example (8_58).mp4 - 11.38 MB 17 - Week 6 - Dependency Parsing (Optional) 17 - 1 - Dependency Parsing Introduction (10_25).mp4 - 11.15 MB 19 - Week 7 - Ranked Information Retrieval 19 - 4 - Inverse Document Frequency Weighting (10_16).mp4 - 11.12 MB 02 - Week 1 - Basic Text Processing 2 - 1 - Regular Expressions (11_25).mp4 - 10.85 MB 18 - Week 7 - Information Retrieval 18 - 3 - The Inverted Index (10_42).mp4 - 10.71 MB 15 - Week 6 - Probabilistic Parsing 15 - 5 - Constituency Parser Evaluation (9_45).mp4 - 10.66 MB 07 - Week 3 - Sentiment Analysis 7 - 3 - Sentiment Lexicons (8_37).mp4 - 10.58 MB 10 - Week 4 - Relation Extraction 10 - 3 - Supervised Relation Extraction (10_51).mp4 - 10.31 MB 10 - 1 - What is Relation Extraction_ (9_47).mp4 - 10.19 MB 21 - Week 8 - Question Answering 21 - 2 - Answer Types and Query Formulation (8_47).mp4 - 10.12 MB 02 - Week 1 - Basic Text Processing 2 - 4 - Word Normalization and Stemming (11_47).mp4 - 10.08 MB 10 - Week 4 - Relation Extraction 10 - 4 - Semi-Supervised and Unsupervised Relation Extraction (9_53).mp4 - 10.06 MB 16 - Week 6 - Lexicalized Parsing 16 - 3 - PCFG Independence Assumptions (9_44).mp4 - 9.83 MB 08 - Week 4 - Discriminative classifiers Maximum Entropy classifiers 8 - 6 - Maximizing the Likelihood (10_29).mp4 - 9.83 MB 22 - Week 8 - Summarization 22 - 2 - Generating Snippets.mp4 - 9.61 MB 04 - Week 2 - Language Modeling 4 - 3 - Evaluation and Perplexity (11_09).mp4 - 9.6 MB 07 - Week 3 - Sentiment Analysis 7 - 1 - What is Sentiment Analysis_ (7_17).mp4 - 9.56 MB 04 - Week 2 - Language Modeling 4 - 2 - Estimating N-gram Probabilities (9_38).mp4 - 9.48 MB 20 - Week 8.1 - Semantics 20 - 5 - Word Similarity_ Distributional Similarity II (8_15).mp4 - 9.46 MB 09 - Week 4 - Named entity recognition and Maximum Entropy Sequence Models 9 - 1 - Introduction to Information Extraction (9_18).mp4 - 9.39 MB 04 - Week 2 - Language Modeling 4 - 6 - Interpolation (10_25).mp4 - 9.38 MB 18 - Week 7 - Information Retrieval 18 - 1 - Introduction to Information Retrieval (9_16).mp4 - 9.06 MB 18 - 2 - Term-Document Incidence Matrices (8_59).mp4 - 9.02 MB 13 - Week 5 - Parsing Introduction 13 - 1 - Syntactic Structure_ Constituency vs Dependency (8_46).mp4 - 8.96 MB 03 - Week 1 - Edit Distance 3 - 5 - Minimum Edit Distance in Computational Biology (9_29).mp4 - 8.95 MB 21 - Week 8 - Question Answering 21 - 1 - What is Question Answering_ (7_28).mp4 - 8.89 MB 19 - Week 7 - Ranked Information Retrieval 19 - 8 - Evaluating Search Engines (9_02).mp4 - 8.82 MB 20 - Week 8.1 - Semantics 20 - 2 - WordNet and Other Online Thesauri (6_23).mp4 - 8.75 MB 05 - Week 2 - Spelling Correction 5 - 3 - Real-Word Spelling Correction (9_19).mp4 - 8.56 MB 04 - Week 2 - Language Modeling 4 - 8 - Kneser-Ney Smoothing (8_59).mp4 - 8.44 MB 06 - Week 3 - Text Classification 6 - 3 - Formalizing the Naive Bayes Classifier (9_28).mp4 - 8.19 MB 02 - Week 1 - Basic Text Processing 2 - 2 - Regular Expressions in Practical NLP (6_04).mp4 - 7.96 MB 08 - Week 4 - Discriminative classifiers Maximum Entropy classifiers 8 - 1 - Generative vs. Discriminative Models (7_49).mp4 - 7.92 MB 8 - 4 - Building a Maxent Model_ The Nuts and Bolts (8_04).mp4 - 7.8 MB 06 - Week 3 - Text Classification 6 - 1 - What is Text Classification_ (8_12).mp4 - 7.7 MB 21 - Week 8 - Question Answering 21 - 3 - Passage Retrieval and Answer Extraction (6_38).mp4 - 7.68 MB 04 - Week 2 - Language Modeling 4 - 1 - Introduction to N-grams (8_41).mp4 - 7.64 MB 13 - Week 5 - Parsing Introduction 13 - 2 - Empirical_Data-Driven Approach to Parsing (7_11).mp4 - 7.24 MB 17 - Week 6 - Dependency Parsing (Optional) 17 - 3 - Dependencies Encode Relational Structure (7_20).mp4 - 7.24 MB 16 - Week 6 - Lexicalized Parsing 16 - 1 - Lexicalization of PCFGs (7_03).mp4 - 7.12 MB 09 - Week 4 - Named entity recognition and Maximum Entropy Sequence Models 9 - 2 - Evaluation of Named Entity Recognition (6_34).mp4 - 6.75 MB 18 - Week 7 - Information Retrieval 18 - 4 - Query Processing with the Inverted Index (6_43).mp4 - 6.74 MB 05 - Week 2 - Spelling Correction 5 - 4 - State of the Art Systems (7_10).mp4 - 6.61 MB 03 - Week 1 - Edit Distance 3 - 1 - Defining Minimum Edit Distance (7_04).mp4 - 6.6 MB 06 - Week 3 - Text Classification 6 - 9 - Practical Issues in Text Classification (5_56).mp4 - 6.56 MB 22 - Week 8 - Summarization 22 - 3 - Evaluating Summaries_ ROUGE.mp4 - 6.53 MB 19 - Week 7 - Ranked Information Retrieval 19 - 3 - Term Frequency Weighting (5_59).mp4 - 6.36 MB 06 - Week 3 - Text Classification 6 - 4 - Naive Bayes_ Learning (5_22).mp4 - 6.18 MB 21 - Week 8 - Question Answering 21 - 5 - Advanced_ Answering Complex Questions (4_52).mp4 - 6.17 MB 10 - Week 4 - Relation Extraction 10 - 2 - Using Patterns to Extract Relations (6_17).mp4 - 6.08 MB 04 - Week 2 - Language Modeling 4 - 5 - Smoothing_ Add-One (6_30).mp4 - 6.04 MB 22 - Week 8 - Summarization 22 - 1 - Introduction to Summarization.mp4 - 6.02 MB 03 - Week 1 - Edit Distance 3 - 3 - Backtrace for Computing Alignments (5_55).mp4 - 5.53 MB 19 - Week 7 - Ranked Information Retrieval 19 - 2 - Scoring with the Jaccard Coefficient (5_06).mp4 - 5.39 MB 03 - Week 1 - Edit Distance 3 - 2 - Computing Minimum Edit Distance (5_54).mp4 - 5.38 MB 21 - Week 8 - Question Answering 21 - 4 - Using Knowledge in QA (4_25).mp4 - 5.27 MB 02 - Week 1 - Basic Text Processing 2 - 5 - Sentence Segmentation (5_31).mp4 - 4.97 MB 05 - Week 2 - Spelling Correction 5 - 1 - The Spelling Correction Task (5_39).mp4 - 4.84 MB 11 - Week 5 - Advanced Maximum Entropy Models 11 - 3 - Conditional Maxent Models for Classification (4_11).mp4 - 4.79 MB 04 - Week 2 - Language Modeling 4 - 4 - Generalization and Zeros (5_15).mp4 - 4.67 MB 19 - Week 7 - Ranked Information Retrieval 19 - 1 - Introducing Ranked Retrieval (4_27).mp4 - 4.58 MB 19 - 5 - TF-IDF Weighting (3_42).mp4 - 4.1 MB 06 - Week 3 - Text Classification 6 - 5 - Naive Bayes_ Relationship to Language Modeling (4_35).mp4 - 4.09 MB 10 - Week 4 - Relation Extraction slides_06-08-Supervised-Relation-Extraction-v2.pdf - 3.91 MB slides_06-09-Semi-Supervised-and-Unsupervised-Relation-Extraction-v2.pdf - 3.3 MB 06 - Week 3 - Text Classification 6 - 2 - Naive Bayes (3_19).mp4 - 3.25 MB 10 - Week 4 - Relation Extraction slides_06-07-Using-Patterns-To-Extract-Relations-v2.pdf - 3.02 MB 03 - Week 1 - Edit Distance 3 - 4 - Weighted Minimum Edit Distance (2_47).mp4 - 2.83 MB 01 - Week 1 - Course Introduction intro.pdf - 2.63 MB slides_intro.pdf - 2.63 MB 20 - Week 8.1 - Semantics slides_07-04-Word-Similarity-Distributional-Similarity-I.pptx - 2.2 MB 01 - Week 1 - Course Introduction intro.pptx - 2 MB slides_intro.pptx - 2 MB 07 - Week 3 - Sentiment Analysis slides_03-02-WhatIsSentiment.pptx - 1.62 MB 08 - Week 4 - Discriminative classifiers Maximum Entropy classifiers slides_04-01-Maximizing_the_Likelihood.pdf - 1.48 MB 20 - Week 8.1 - Semantics slides_07-02-WordNet-and-Other-Online-Thesauri.pptx - 1.46 MB 08 - Week 4 - Discriminative classifiers Maximum Entropy classifiers slides_04-01-Maximizing_the_Likelihood.pptx - 1.46 MB 16 - Week 6 - Lexicalized Parsing slides_Parsing-12-PCFGs-Unlexicalized-Return.pptx - 1.31 MB 10 - Week 4 - Relation Extraction slides_06-06-What-Is-Relation-Extraction-.pptx - 1.3 MB 20 - Week 8.1 - Semantics slides_07-04-Word-Similarity-Distributional-Similarity-I.pdf - 1.22 MB 11 - Week 5 - Advanced Maximum Entropy Models slides_05-04-Maxent_Smoothing.pptx - 1.22 MB 07 - Week 3 - Sentiment Analysis slides_03-02-WhatIsSentiment.pdf - 1.18 MB slides_03-02-LearningSALexicons.pptx - 1.17 MB 20 - Week 8.1 - Semantics slides_07-02-WordNet-and-Other-Online-Thesauri.pdf - 1.16 MB 11 - Week 5 - Advanced Maximum Entropy Models slides_05-04-Maxent_Smoothing.pdf - 1.15 MB 21 - Week 8 - Question Answering slides_07-06-What-is-Question-Answering.pptx - 1.15 MB 04 - Week 2 - Language Modeling slides_02-01-advKnesNeySmooth.pptx - 1.14 MB 06 - Week 3 - Text Classification slides_03-01-NBLearning.pptx - 1.13 MB 10 - Week 4 - Relation Extraction slides_06-06-What-Is-Relation-Extraction-v2.pdf - 1.11 MB 11 - Week 5 - Advanced Maximum Entropy Models slides_05-01-Maxent_Model_Formulation.pptx - 1.1 MB 06 - Week 3 - Text Classification slides_03-01-FormalizingNB.pptx - 1.09 MB 20 - Week 8.1 - Semantics slides_07-03-Word-Similarity-Thesaurus-Methods.pptx - 1.09 MB 22 - Week 8 - Summarization slides_08-Summarization-02-Snippets.pptx - 1.08 MB slides_08-Summarization-04-Multiple.pptx - 1.07 MB 05 - Week 2 - Spelling Correction slides_02-02-noisychannel.pdf - 1.06 MB 11 - Week 5 - Advanced Maximum Entropy Models slides_05-01-Maxent_Model_Formulation.pdf - 1.06 MB 21 - Week 8 - Question Answering slides_07-07-Answer-Types-and-Query-Formulation.pptx - 1.04 MB 20 - Week 8.1 - Semantics slides_07-05-Word-Similarity-Distributional-Similarity-II.pptx - 1.03 MB 06 - Week 3 - Text Classification slides_03-01-FormalizingNB.pdf - 1.01 MB 05 - Week 2 - Spelling Correction slides_02-02-noisychannel.pptx - 1020.6 KB 16 - Week 6 - Lexicalized Parsing slides_Parsing-10-LPCFGs-Charniak-Model.pptx - 1005.29 KB 04 - Week 2 - Language Modeling slides_02-01-advGoodTuringSmooth.pptx - 973.11 KB 21 - Week 8 - Question Answering slides_07-07-Answer-Types-and-Query-Formulation.pdf - 962.07 KB slides_07-06-What-is-Question-Answering.pdf - 956.91 KB 22 - Week 8 - Summarization slides_08-Summarization-04-Multiple.pdf - 953.17 KB 04 - Week 2 - Language Modeling slides_02-01-estimNgramProbs.pptx - 942.46 KB 03 - Week 1 - Edit Distance slides_01-03-weighted.pptx - 922.74 KB 05 - Week 2 - Spelling Correction slides_02-02-spellCorrectionTask.pptx - 918.35 KB 03 - Week 1 - Edit Distance slides_01-03-weighted.pdf - 916.21 KB 16 - Week 6 - Lexicalized Parsing slides_Parsing-11-PCFGs-Independence.pptx - 903.86 KB 04 - Week 2 - Language Modeling slides_02-01-smoothingAddone.pptx - 900.04 KB 06 - Week 3 - Text Classification slides_03-01-taskTextClass.pptx - 895.96 KB

Torrent Files

Size: 1.27 GB

Natural Language Processing

17 - Week 6 - Dependency Parsing (Optional)

17 - 2 - Greedy Transition-Based Parsing (31_05).mp4 -

31.36 MB

11 - Week 5 - Advanced Maximum Entropy Models

11 - 4 - Smoothing_Regularization_Priors for Maxent Models (29_24).mp4 -

28.8 MB

15 - Week 6 - Probabilistic Parsing

15 - 3 - CKY Parsing (23_25).mp4 -

26.18 MB

14 - Week 5 - Instructor Chat

14 - 1 - Instructor Chat (9_02).mp4 -

23.78 MB

15 - Week 6 - Probabilistic Parsing

15 - 4 - CKY Example (21_52).mp4 -

23.44 MB

16 - Week 6 - Lexicalized Parsing

16 - 4 - The Return of Unlexicalized PCFGs (20_53).mp4 -

21.22 MB

18 - Week 7 - Information Retrieval

18 - 5 - Phrase Queries and Positional Indexes (19_45).mp4 -

20.6 MB

20 - Week 8.1 - Semantics

20 - 3 - Word Similarity and Thesaurus Methods (16_17).mp4 -

20.24 MB

16 - Week 6 - Lexicalized Parsing

16 - 2 - Charniak's Model (18_23).mp4 -

18.96 MB

07 - Week 3 - Sentiment Analysis

7 - 4 - Learning Sentiment Lexicons (14_45).mp4 -

18.65 MB

23 - Week 8 - Instructor Chat II

23 - 1 - Instructor Chat II (5_23).mp4 -

18.63 MB

05 - Week 2 - Spelling Correction

5 - 2 - The Noisy Channel Model of Spelling (19_30).mp4 -

17.79 MB

11 - Week 5 - Advanced Maximum Entropy Models

11 - 1 - The Maximum Entropy Model Presentation (12_14).mp4 -

17.28 MB

19 - Week 7 - Ranked Information Retrieval

19 - 6 - The Vector Space Model (16_22).mp4 -

16.93 MB

08 - Week 4 - Discriminative classifiers Maximum Entropy classifiers

8 - 2 - Making features from text for discriminative NLP models (18_11).mp4 -

16.66 MB

15 - Week 6 - Probabilistic Parsing

15 - 1 - CFGs and PCFGs (15_29).mp4 -

16.65 MB

06 - Week 3 - Text Classification

6 - 7 - Precision, Recall, and the F measure (16_16).mp4 -

15.72 MB

20 - Week 8.1 - Semantics

20 - 4 - Word Similarity_ Distributional Similarity I (13_14).mp4 -

15.03 MB

20 - 1 - Word Senses and Word Relations (11_50).mp4 -

14.89 MB

12 - Week 5 - POS Tagging

13 - 3 - The Exponential Problem in Parsing (14_30).mp4 -

14.87 MB

13 - Week 5 - Parsing Introduction

13 - 3 - The Exponential Problem in Parsing (14_30).mp4 -

14.87 MB

07 - Week 3 - Sentiment Analysis

7 - 5 - Other Sentiment Tasks (11_01).mp4 -

14.53 MB

09 - Week 4 - Named entity recognition and Maximum Entropy Sequence Models

9 - 3 - Sequence Models for Named Entity Recognition (15_05).mp4 -

14.15 MB

08 - Week 4 - Discriminative classifiers Maximum Entropy classifiers

8 - 3 - Feature-Based Linear Classifiers (13_34).mp4 -

13.46 MB

04 - Week 2 - Language Modeling

4 - 7 - Good-Turing Smoothing (15_35).mp4 -

13.44 MB

22 - Week 8 - Summarization

22 - 4 - Summarizing Multiple Documents.mp4 -

13.4 MB

09 - Week 4 - Named entity recognition and Maximum Entropy Sequence Models

9 - 4 - Maximum Entropy Sequence Models (13_01).mp4 -

13.3 MB

19 - Week 7 - Ranked Information Retrieval

19 - 7 - Calculating TF-IDF Cosine Scores (12_47).mp4 -

13.23 MB

07 - Week 3 - Sentiment Analysis

7 - 2 - Sentiment Analysis_ A baseline algorithm (13_27).mp4 -

13.18 MB

12 - Week 5 - POS Tagging

12 - 2 - Some Methods and Results on Sequence Models for POS Tagging (13_04).mp4 -

12.82 MB

11 - Week 5 - Advanced Maximum Entropy Models

11 - 2 - Feature Overlap_Feature Interaction (12_51).mp4 -

12.63 MB

16 - Week 6 - Lexicalized Parsing

16 - 5 - Latent Variable PCFGs (12_07).mp4 -

12.55 MB

02 - Week 1 - Basic Text Processing

2 - 3 - Word Tokenization (14_26).mp4 -

12.47 MB

01 - Week 1 - Course Introduction

1 - 1 - Course Introduction (14_11).mp4 -

12.26 MB

08 - Week 4 - Discriminative classifiers Maximum Entropy classifiers

8 - 5 - Generative vs. Discriminative models_ The problem of overcounting evidence (12_15).mp4 -

12.22 MB

15 - Week 6 - Probabilistic Parsing

15 - 2 - Grammar Transforms (12_05).mp4 -

12.05 MB

12 - Week 5 - POS Tagging

12 - 1 - An Intro to Parts of Speech and POS Tagging (13_19).mp4 -

11.88 MB

06 - Week 3 - Text Classification

6 - 8 - Text Classification_ Evaluation (7_17).mp4 -

11.54 MB

6 - 6 - Multinomial Naive Bayes_ A Worked Example (8_58).mp4 -

11.38 MB

17 - Week 6 - Dependency Parsing (Optional)

17 - 1 - Dependency Parsing Introduction (10_25).mp4 -

11.15 MB

19 - Week 7 - Ranked Information Retrieval

19 - 4 - Inverse Document Frequency Weighting (10_16).mp4 -

11.12 MB

02 - Week 1 - Basic Text Processing

2 - 1 - Regular Expressions (11_25).mp4 -

10.85 MB

18 - Week 7 - Information Retrieval

18 - 3 - The Inverted Index (10_42).mp4 -

10.71 MB

15 - Week 6 - Probabilistic Parsing

15 - 5 - Constituency Parser Evaluation (9_45).mp4 -

10.66 MB

07 - Week 3 - Sentiment Analysis

7 - 3 - Sentiment Lexicons (8_37).mp4 -

10.58 MB

10 - Week 4 - Relation Extraction

10 - 3 - Supervised Relation Extraction (10_51).mp4 -

10.31 MB

10 - 1 - What is Relation Extraction_ (9_47).mp4 -

10.19 MB

21 - Week 8 - Question Answering

21 - 2 - Answer Types and Query Formulation (8_47).mp4 -

10.12 MB

02 - Week 1 - Basic Text Processing

2 - 4 - Word Normalization and Stemming (11_47).mp4 -

10.08 MB

10 - Week 4 - Relation Extraction

10 - 4 - Semi-Supervised and Unsupervised Relation Extraction (9_53).mp4 -

10.06 MB

16 - Week 6 - Lexicalized Parsing

16 - 3 - PCFG Independence Assumptions (9_44).mp4 -

9.83 MB

08 - Week 4 - Discriminative classifiers Maximum Entropy classifiers

8 - 6 - Maximizing the Likelihood (10_29).mp4 -

9.83 MB

22 - Week 8 - Summarization

22 - 2 - Generating Snippets.mp4 -

9.61 MB

04 - Week 2 - Language Modeling

4 - 3 - Evaluation and Perplexity (11_09).mp4 -

9.6 MB

07 - Week 3 - Sentiment Analysis

7 - 1 - What is Sentiment Analysis_ (7_17).mp4 -

9.56 MB

04 - Week 2 - Language Modeling

4 - 2 - Estimating N-gram Probabilities (9_38).mp4 -

9.48 MB

20 - Week 8.1 - Semantics

20 - 5 - Word Similarity_ Distributional Similarity II (8_15).mp4 -

9.46 MB

09 - Week 4 - Named entity recognition and Maximum Entropy Sequence Models

9 - 1 - Introduction to Information Extraction (9_18).mp4 -

9.39 MB

04 - Week 2 - Language Modeling

4 - 6 - Interpolation (10_25).mp4 -

9.38 MB

18 - Week 7 - Information Retrieval

18 - 1 - Introduction to Information Retrieval (9_16).mp4 -

9.06 MB

18 - 2 - Term-Document Incidence Matrices (8_59).mp4 -

9.02 MB

13 - Week 5 - Parsing Introduction

13 - 1 - Syntactic Structure_ Constituency vs Dependency (8_46).mp4 -

8.96 MB

03 - Week 1 - Edit Distance

3 - 5 - Minimum Edit Distance in Computational Biology (9_29).mp4 -

8.95 MB

21 - Week 8 - Question Answering

21 - 1 - What is Question Answering_ (7_28).mp4 -

8.89 MB

19 - Week 7 - Ranked Information Retrieval

19 - 8 - Evaluating Search Engines (9_02).mp4 -

8.82 MB

20 - Week 8.1 - Semantics

20 - 2 - WordNet and Other Online Thesauri (6_23).mp4 -

8.75 MB

05 - Week 2 - Spelling Correction

5 - 3 - Real-Word Spelling Correction (9_19).mp4 -

8.56 MB

04 - Week 2 - Language Modeling

4 - 8 - Kneser-Ney Smoothing (8_59).mp4 -

8.44 MB

06 - Week 3 - Text Classification

6 - 3 - Formalizing the Naive Bayes Classifier (9_28).mp4 -

8.19 MB

02 - Week 1 - Basic Text Processing

2 - 2 - Regular Expressions in Practical NLP (6_04).mp4 -

7.96 MB

08 - Week 4 - Discriminative classifiers Maximum Entropy classifiers

8 - 1 - Generative vs. Discriminative Models (7_49).mp4 -

7.92 MB

8 - 4 - Building a Maxent Model_ The Nuts and Bolts (8_04).mp4 -

7.8 MB

06 - Week 3 - Text Classification

6 - 1 - What is Text Classification_ (8_12).mp4 -

7.7 MB

21 - Week 8 - Question Answering

21 - 3 - Passage Retrieval and Answer Extraction (6_38).mp4 -

7.68 MB

04 - Week 2 - Language Modeling

4 - 1 - Introduction to N-grams (8_41).mp4 -

7.64 MB

13 - Week 5 - Parsing Introduction

13 - 2 - Empirical_Data-Driven Approach to Parsing (7_11).mp4 -

7.24 MB

17 - Week 6 - Dependency Parsing (Optional)

17 - 3 - Dependencies Encode Relational Structure (7_20).mp4 -

7.24 MB

16 - Week 6 - Lexicalized Parsing

16 - 1 - Lexicalization of PCFGs (7_03).mp4 -

7.12 MB

09 - Week 4 - Named entity recognition and Maximum Entropy Sequence Models

9 - 2 - Evaluation of Named Entity Recognition (6_34).mp4 -

6.75 MB

18 - Week 7 - Information Retrieval

18 - 4 - Query Processing with the Inverted Index (6_43).mp4 -

6.74 MB

05 - Week 2 - Spelling Correction

5 - 4 - State of the Art Systems (7_10).mp4 -

6.61 MB

03 - Week 1 - Edit Distance

3 - 1 - Defining Minimum Edit Distance (7_04).mp4 -

6.6 MB

06 - Week 3 - Text Classification

6 - 9 - Practical Issues in Text Classification (5_56).mp4 -

6.56 MB

22 - Week 8 - Summarization

22 - 3 - Evaluating Summaries_ ROUGE.mp4 -

6.53 MB

19 - Week 7 - Ranked Information Retrieval

19 - 3 - Term Frequency Weighting (5_59).mp4 -

6.36 MB

06 - Week 3 - Text Classification

6 - 4 - Naive Bayes_ Learning (5_22).mp4 -

6.18 MB

21 - Week 8 - Question Answering

21 - 5 - Advanced_ Answering Complex Questions (4_52).mp4 -

6.17 MB

10 - Week 4 - Relation Extraction

10 - 2 - Using Patterns to Extract Relations (6_17).mp4 -

6.08 MB

04 - Week 2 - Language Modeling

4 - 5 - Smoothing_ Add-One (6_30).mp4 -

6.04 MB

22 - Week 8 - Summarization

22 - 1 - Introduction to Summarization.mp4 -

6.02 MB

03 - Week 1 - Edit Distance

3 - 3 - Backtrace for Computing Alignments (5_55).mp4 -

5.53 MB

19 - Week 7 - Ranked Information Retrieval

19 - 2 - Scoring with the Jaccard Coefficient (5_06).mp4 -

5.39 MB

03 - Week 1 - Edit Distance

3 - 2 - Computing Minimum Edit Distance (5_54).mp4 -

5.38 MB

21 - Week 8 - Question Answering

21 - 4 - Using Knowledge in QA (4_25).mp4 -

5.27 MB

02 - Week 1 - Basic Text Processing

2 - 5 - Sentence Segmentation (5_31).mp4 -

4.97 MB

05 - Week 2 - Spelling Correction

5 - 1 - The Spelling Correction Task (5_39).mp4 -

4.84 MB

11 - Week 5 - Advanced Maximum Entropy Models

11 - 3 - Conditional Maxent Models for Classification (4_11).mp4 -

4.79 MB

04 - Week 2 - Language Modeling

4 - 4 - Generalization and Zeros (5_15).mp4 -

4.67 MB

19 - Week 7 - Ranked Information Retrieval

19 - 1 - Introducing Ranked Retrieval (4_27).mp4 -

4.58 MB

19 - 5 - TF-IDF Weighting (3_42).mp4 -

4.1 MB

06 - Week 3 - Text Classification

6 - 5 - Naive Bayes_ Relationship to Language Modeling (4_35).mp4 -

4.09 MB

10 - Week 4 - Relation Extraction

slides_06-08-Supervised-Relation-Extraction-v2.pdf -

3.91 MB

slides_06-09-Semi-Supervised-and-Unsupervised-Relation-Extraction-v2.pdf -

3.3 MB

06 - Week 3 - Text Classification

6 - 2 - Naive Bayes (3_19).mp4 -

3.25 MB

10 - Week 4 - Relation Extraction

slides_06-07-Using-Patterns-To-Extract-Relations-v2.pdf -

3.02 MB

03 - Week 1 - Edit Distance

3 - 4 - Weighted Minimum Edit Distance (2_47).mp4 -

2.83 MB

01 - Week 1 - Course Introduction

intro.pdf -

2.63 MB

slides_intro.pdf -

2.63 MB

20 - Week 8.1 - Semantics

slides_07-04-Word-Similarity-Distributional-Similarity-I.pptx -

2.2 MB

01 - Week 1 - Course Introduction

intro.pptx -

2 MB

slides_intro.pptx -

2 MB

07 - Week 3 - Sentiment Analysis

slides_03-02-WhatIsSentiment.pptx -

1.62 MB

08 - Week 4 - Discriminative classifiers Maximum Entropy classifiers

slides_04-01-Maximizing_the_Likelihood.pdf -

1.48 MB

20 - Week 8.1 - Semantics

slides_07-02-WordNet-and-Other-Online-Thesauri.pptx -

1.46 MB

08 - Week 4 - Discriminative classifiers Maximum Entropy classifiers

slides_04-01-Maximizing_the_Likelihood.pptx -

1.46 MB

16 - Week 6 - Lexicalized Parsing

slides_Parsing-12-PCFGs-Unlexicalized-Return.pptx -

1.31 MB

10 - Week 4 - Relation Extraction

slides_06-06-What-Is-Relation-Extraction-.pptx -

1.3 MB

20 - Week 8.1 - Semantics

slides_07-04-Word-Similarity-Distributional-Similarity-I.pdf -

1.22 MB

11 - Week 5 - Advanced Maximum Entropy Models

slides_05-04-Maxent_Smoothing.pptx -

1.22 MB

07 - Week 3 - Sentiment Analysis

slides_03-02-WhatIsSentiment.pdf -

1.18 MB

slides_03-02-LearningSALexicons.pptx -

1.17 MB

20 - Week 8.1 - Semantics

slides_07-02-WordNet-and-Other-Online-Thesauri.pdf -

1.16 MB

11 - Week 5 - Advanced Maximum Entropy Models

slides_05-04-Maxent_Smoothing.pdf -

1.15 MB

21 - Week 8 - Question Answering

slides_07-06-What-is-Question-Answering.pptx -

1.15 MB

04 - Week 2 - Language Modeling

slides_02-01-advKnesNeySmooth.pptx -

1.14 MB

06 - Week 3 - Text Classification

slides_03-01-NBLearning.pptx -

1.13 MB

10 - Week 4 - Relation Extraction

slides_06-06-What-Is-Relation-Extraction-v2.pdf -

1.11 MB

11 - Week 5 - Advanced Maximum Entropy Models

slides_05-01-Maxent_Model_Formulation.pptx -

1.1 MB

06 - Week 3 - Text Classification

slides_03-01-FormalizingNB.pptx -

1.09 MB

20 - Week 8.1 - Semantics

slides_07-03-Word-Similarity-Thesaurus-Methods.pptx -

1.09 MB

22 - Week 8 - Summarization

slides_08-Summarization-02-Snippets.pptx -

1.08 MB

slides_08-Summarization-04-Multiple.pptx -

1.07 MB

05 - Week 2 - Spelling Correction

slides_02-02-noisychannel.pdf -

1.06 MB

11 - Week 5 - Advanced Maximum Entropy Models

slides_05-01-Maxent_Model_Formulation.pdf -

1.06 MB

21 - Week 8 - Question Answering

slides_07-07-Answer-Types-and-Query-Formulation.pptx -

1.04 MB

20 - Week 8.1 - Semantics

slides_07-05-Word-Similarity-Distributional-Similarity-II.pptx -

1.03 MB

06 - Week 3 - Text Classification

slides_03-01-FormalizingNB.pdf -

1.01 MB

05 - Week 2 - Spelling Correction

slides_02-02-noisychannel.pptx -

1020.6 KB

16 - Week 6 - Lexicalized Parsing

slides_Parsing-10-LPCFGs-Charniak-Model.pptx -

1005.29 KB

04 - Week 2 - Language Modeling

slides_02-01-advGoodTuringSmooth.pptx -

973.11 KB

21 - Week 8 - Question Answering

slides_07-07-Answer-Types-and-Query-Formulation.pdf -

962.07 KB

slides_07-06-What-is-Question-Answering.pdf -

956.91 KB

22 - Week 8 - Summarization

slides_08-Summarization-04-Multiple.pdf -

953.17 KB

04 - Week 2 - Language Modeling

slides_02-01-estimNgramProbs.pptx -

942.46 KB

03 - Week 1 - Edit Distance

slides_01-03-weighted.pptx -

922.74 KB

05 - Week 2 - Spelling Correction

slides_02-02-spellCorrectionTask.pptx -

918.35 KB

03 - Week 1 - Edit Distance

slides_01-03-weighted.pdf -

916.21 KB

16 - Week 6 - Lexicalized Parsing

slides_Parsing-11-PCFGs-Independence.pptx -

903.86 KB

04 - Week 2 - Language Modeling

slides_02-01-smoothingAddone.pptx -

900.04 KB

06 - Week 3 - Text Classification

slides_03-01-taskTextClass.pptx -

895.96 KB

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