Natural Language Processing | 111E8DAD4AEC6FCCEFF2FB5C29DB95CD8F1F3D53

Natural Language Processing

Name	Natural Language Processing	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	1.4 GB
Total Files	505
Hash	111E8DAD4AEC6FCCEFF2FB5C29DB95CD8F1F3D53

/17 - Week 6 - Dependency Parsing (Optional)/
17 - 2 - Greedy Transition-Based Parsing (31_05).mp4	32.9 MB
17 - 1 - Dependency Parsing Introduction (10_25).mp4	11.7 MB
17 - 3 - Dependencies Encode Relational Structure (7_20).mp4	7.6 MB
slides_Parsing-16-Stanford-Dependencies.pptx	834.4 KB
slides_Parsing-14-Dependency-Intro.pptx	813.0 KB
slides_Parsing-15-Dependency-Transition-Based.pptx	784.4 KB
slides_Parsing-16-Stanford-Dependencies.pdf	745.3 KB
slides_Parsing-15-Dependency-Transition-Based.pdf	704.0 KB
slides_Parsing-14-Dependency-Intro.pdf	685.9 KB
17 - 2 - Greedy Transition-Based Parsing (31_05).srt	38.4 KB
17 - 2 - Greedy Transition-Based Parsing (31_05).txt	26.2 KB
17 - 1 - Dependency Parsing Introduction (10_25).srt	13.1 KB
17 - 3 - Dependencies Encode Relational Structure (7_20).srt	9.3 KB
17 - 1 - Dependency Parsing Introduction (10_25).txt	9.0 KB
17 - 3 - Dependencies Encode Relational Structure (7_20).txt	6.1 KB
/11 - Week 5 - Advanced Maximum Entropy Models/
11 - 4 - Smoothing_Regularization_Priors for Maxent Models (29_24).mp4	30.2 MB
11 - 1 - The Maximum Entropy Model Presentation (12_14).mp4	18.1 MB
11 - 2 - Feature Overlap_Feature Interaction (12_51).mp4	13.2 MB
11 - 3 - Conditional Maxent Models for Classification (4_11).mp4	5.0 MB
slides_05-04-Maxent_Smoothing.pptx	1.3 MB
slides_05-04-Maxent_Smoothing.pdf	1.2 MB
slides_05-01-Maxent_Model_Formulation.pptx	1.2 MB
slides_05-01-Maxent_Model_Formulation.pdf	1.1 MB
slides_05-03-Maxent_Classification.pptx	769.7 KB
slides_05-03-Maxent_Classification.pdf	760.1 KB
slides_05-02-Maxent_Feature_Overlap.pptx	659.2 KB
slides_05-02-Maxent_Feature_Overlap.pdf	627.3 KB
11 - 4 - Smoothing_Regularization_Priors for Maxent Models (29_24).srt	37.5 KB
11 - 4 - Smoothing_Regularization_Priors for Maxent Models (29_24).txt	25.6 KB
11 - 2 - Feature Overlap_Feature Interaction (12_51).srt	16.6 KB
11 - 1 - The Maximum Entropy Model Presentation (12_14).srt	15.4 KB
11 - 2 - Feature Overlap_Feature Interaction (12_51).txt	11.4 KB
11 - 1 - The Maximum Entropy Model Presentation (12_14).txt	10.5 KB
11 - 3 - Conditional Maxent Models for Classification (4_11).srt	5.1 KB
11 - 3 - Conditional Maxent Models for Classification (4_11).txt	3.5 KB
/15 - Week 6 - Probabilistic Parsing/
15 - 3 - CKY Parsing (23_25).mp4	27.5 MB
15 - 4 - CKY Example (21_52).mp4	24.6 MB
15 - 1 - CFGs and PCFGs (15_29).mp4	17.5 MB
15 - 2 - Grammar Transforms (12_05).mp4	12.6 MB
15 - 5 - Constituency Parser Evaluation (9_45).mp4	11.2 MB
slides_Parsing-04-CFG-PCFG.pptx	915.7 KB
slides_Parsing-04-CFG-PCFG.pdf	822.4 KB
slides_Parsing-05-Grammar-Transforms.pptx	751.4 KB
slides_Parsing-08-Constituency-Evaluation.pptx	742.9 KB
slides_Parsing-05-Grammar-Transforms.pdf	742.2 KB
slides_Parsing-08-Constituency-Evaluation.pdf	702.8 KB
slides_Parsing-07-CKY-example.pptx	693.9 KB
slides_Parsing-06-CKY-introduction.pdf	668.1 KB
slides_Parsing-06-CKY-introduction.pptx	647.3 KB
slides_Parsing-07-CKY-example.pdf	641.8 KB
15 - 3 - CKY Parsing (23_25).srt	26.4 KB
15 - 4 - CKY Example (21_52).srt	23.8 KB
15 - 1 - CFGs and PCFGs (15_29).srt	18.7 KB
15 - 3 - CKY Parsing (23_25).txt	18.0 KB
15 - 4 - CKY Example (21_52).txt	16.3 KB
15 - 2 - Grammar Transforms (12_05).srt	15.6 KB
15 - 1 - CFGs and PCFGs (15_29).txt	12.8 KB
15 - 5 - Constituency Parser Evaluation (9_45).srt	12.1 KB
15 - 2 - Grammar Transforms (12_05).txt	10.7 KB
15 - 5 - Constituency Parser Evaluation (9_45).txt	8.3 KB
/14 - Week 5 - Instructor Chat/
14 - 1 - Instructor Chat (9_02).mp4	24.9 MB
/16 - Week 6 - Lexicalized Parsing/
16 - 4 - The Return of Unlexicalized PCFGs (20_53).mp4	22.2 MB
16 - 2 - Charniak's Model (18_23).mp4	19.9 MB
16 - 5 - Latent Variable PCFGs (12_07).mp4	13.2 MB
16 - 3 - PCFG Independence Assumptions (9_44).mp4	10.3 MB
16 - 1 - Lexicalization of PCFGs (7_03).mp4	7.5 MB
slides_Parsing-12-PCFGs-Unlexicalized-Return.pptx	1.4 MB
slides_Parsing-10-LPCFGs-Charniak-Model.pptx	1.0 MB
slides_Parsing-11-PCFGs-Independence.pptx	925.6 KB
slides_Parsing-13-PCFGs-Latent-Vars.pptx	890.1 KB
slides_Parsing-13-PCFGs-Latent-Vars.pdf	887.9 KB
slides_Parsing-12-PCFGs-Unlexicalized-Return.pdf	875.4 KB
slides_Parsing-09-LPCFGs-Intro.pptx	850.8 KB
slides_Parsing-10-LPCFGs-Charniak-Model.pdf	848.9 KB
slides_Parsing-11-PCFGs-Independence.pdf	691.3 KB
slides_Parsing-09-LPCFGs-Intro.pdf	668.1 KB
16 - 4 - The Return of Unlexicalized PCFGs (20_53).srt	24.6 KB
16 - 2 - Charniak's Model (18_23).srt	22.5 KB
16 - 4 - The Return of Unlexicalized PCFGs (20_53).txt	16.8 KB
16 - 2 - Charniak's Model (18_23).txt	15.4 KB
16 - 5 - Latent Variable PCFGs (12_07).srt	15.0 KB
16 - 3 - PCFG Independence Assumptions (9_44).srt	11.8 KB
16 - 5 - Latent Variable PCFGs (12_07).txt	10.2 KB
16 - 1 - Lexicalization of PCFGs (7_03).srt	8.4 KB
16 - 3 - PCFG Independence Assumptions (9_44).txt	8.1 KB
16 - 1 - Lexicalization of PCFGs (7_03).txt	5.7 KB
/18 - Week 7 - Information Retrieval/
18 - 5 - Phrase Queries and Positional Indexes (19_45).mp4	21.6 MB
18 - 3 - The Inverted Index (10_42).mp4	11.2 MB
18 - 1 - Introduction to Information Retrieval (9_16).mp4	9.5 MB
18 - 2 - Term-Document Incidence Matrices (8_59).mp4	9.5 MB
18 - 4 - Query Processing with the Inverted Index (6_43).mp4	7.1 MB
slides_05-01-02-IR-TermDocIncidence.pdf	779.2 KB
slides_05-01-02-IR-TermDocIncidence.pptx	706.9 KB
slides_05-01-03-IR-InvertedIndex.pptx	408.8 KB
slides_05-01-03-IR-InvertedIndex.pdf	297.7 KB
slides_05-01-01-IR-Introduction.pdf	217.6 KB
slides_05-01-04-IR-InvIndexQueryProcessing.pdf	181.8 KB
slides_05-01-04-IR-InvIndexQueryProcessing.pptx	163.7 KB
slides_05-01-06-IR-PhraseQueries.pdf	142.8 KB
slides_05-01-01-IR-Introduction.pptx	138.6 KB
slides_05-01-06-IR-PhraseQueries.pptx	89.6 KB
18 - 5 - Phrase Queries and Positional Indexes (19_45).srt	23.6 KB
18 - 5 - Phrase Queries and Positional Indexes (19_45).txt	16.3 KB
18 - 3 - The Inverted Index (10_42).srt	13.4 KB
18 - 1 - Introduction to Information Retrieval (9_16).srt	12.4 KB
18 - 2 - Term-Document Incidence Matrices (8_59).srt	11.0 KB
18 - 3 - The Inverted Index (10_42).txt	9.2 KB
18 - 1 - Introduction to Information Retrieval (9_16).txt	8.5 KB
18 - 2 - Term-Document Incidence Matrices (8_59).txt	7.5 KB
18 - 4 - Query Processing with the Inverted Index (6_43).srt	7.5 KB
18 - 4 - Query Processing with the Inverted Index (6_43).txt	5.2 KB
/20 - Week 8.1 - Semantics/
20 - 3 - Word Similarity and Thesaurus Methods (16_17).mp4	21.2 MB
20 - 4 - Word Similarity_ Distributional Similarity I (13_14).mp4	15.8 MB
20 - 1 - Word Senses and Word Relations (11_50).mp4	15.6 MB
20 - 5 - Word Similarity_ Distributional Similarity II (8_15).mp4	9.9 MB
20 - 2 - WordNet and Other Online Thesauri (6_23).mp4	9.2 MB
slides_07-04-Word-Similarity-Distributional-Similarity-I.pptx	2.3 MB
slides_07-02-WordNet-and-Other-Online-Thesauri.pptx	1.5 MB
slides_07-04-Word-Similarity-Distributional-Similarity-I.pdf	1.3 MB
slides_07-02-WordNet-and-Other-Online-Thesauri.pdf	1.2 MB
slides_07-03-Word-Similarity-Thesaurus-Methods.pptx	1.1 MB
slides_07-05-Word-Similarity-Distributional-Similarity-II.pptx	1.1 MB
slides_07-03-Word-Similarity-Thesaurus-Methods.pdf	909.3 KB
slides_07-05-Word-Similarity-Distributional-Similarity-II.pdf	789.1 KB
slides_07-01-Word-Senses-and-Word-Relations.pptx	681.4 KB
slides_07-01-Word-Senses-and-Word-Relations.pdf	645.2 KB
20 - 3 - Word Similarity and Thesaurus Methods (16_17).srt	23.4 KB
20 - 4 - Word Similarity_ Distributional Similarity I (13_14).srt	17.9 KB
20 - 3 - Word Similarity and Thesaurus Methods (16_17).txt	15.9 KB
20 - 1 - Word Senses and Word Relations (11_50).srt	15.6 KB
20 - 4 - Word Similarity_ Distributional Similarity I (13_14).txt	12.2 KB
20 - 5 - Word Similarity_ Distributional Similarity II (8_15).srt	11.3 KB
20 - 1 - Word Senses and Word Relations (11_50).txt	10.6 KB
20 - 2 - WordNet and Other Online Thesauri (6_23).srt	7.9 KB
20 - 5 - Word Similarity_ Distributional Similarity II (8_15).txt	7.8 KB
20 - 2 - WordNet and Other Online Thesauri (6_23).txt	5.3 KB
/07 - Week 3 - Sentiment Analysis/
7 - 4 - Learning Sentiment Lexicons (14_45).mp4	19.6 MB
7 - 5 - Other Sentiment Tasks (11_01).mp4	15.2 MB
7 - 2 - Sentiment Analysis_ A baseline algorithm (13_27).mp4	13.8 MB
7 - 3 - Sentiment Lexicons (8_37).mp4	11.1 MB
7 - 1 - What is Sentiment Analysis_ (7_17).mp4	10.0 MB
slides_03-02-WhatIsSentiment.pptx	1.7 MB
slides_03-02-WhatIsSentiment.pdf	1.2 MB
slides_03-02-LearningSALexicons.pptx	1.2 MB
slides_03-02-baselineSA.pptx	880.4 KB
slides_03-02-LearningSALexicons.pdf	845.5 KB
slides_03-02-SentimentLexicons.pptx	798.3 KB
slides_03-02-baselineSA.pdf	783.0 KB
slides_03-02-SentimentLexicons.pdf	774.5 KB
slides_03-02-OtherSentimentTasks.pdf	667.9 KB
slides_03-02-OtherSentimentTasks.pptx	663.5 KB
7 - 4 - Learning Sentiment Lexicons (14_45).srt	20.4 KB
7 - 2 - Sentiment Analysis_ A baseline algorithm (13_27).srt	18.5 KB
7 - 5 - Other Sentiment Tasks (11_01).srt	15.0 KB
7 - 4 - Learning Sentiment Lexicons (14_45).txt	14.0 KB
7 - 2 - Sentiment Analysis_ A baseline algorithm (13_27).txt	12.7 KB
7 - 3 - Sentiment Lexicons (8_37).srt	11.2 KB
7 - 5 - Other Sentiment Tasks (11_01).txt	10.3 KB
7 - 1 - What is Sentiment Analysis_ (7_17).srt	9.5 KB
7 - 3 - Sentiment Lexicons (8_37).txt	7.7 KB
7 - 1 - What is Sentiment Analysis_ (7_17).txt	6.5 KB
/23 - Week 8 - Instructor Chat II/
23 - 1 - Instructor Chat II (5_23).mp4	19.5 MB
23 - 1 - Instructor Chat II (5_23).srt	9.4 KB
23 - 1 - Instructor Chat II (5_23).txt	6.1 KB
/05 - Week 2 - Spelling Correction/
5 - 2 - The Noisy Channel Model of Spelling (19_30).mp4	18.7 MB
5 - 3 - Real-Word Spelling Correction (9_19).mp4	9.0 MB
5 - 4 - State of the Art Systems (7_10).mp4	6.9 MB
5 - 1 - The Spelling Correction Task (5_39).mp4	5.1 MB
slides_02-02-noisychannel.pdf	1.1 MB
slides_02-02-noisychannel.pptx	1.0 MB
slides_02-02-spellCorrectionTask.pptx	940.4 KB
slides_02-02-StateoftheArtSystems.pptx	857.8 KB
slides_02-02-realWorldSpellCorrect.pptx	837.7 KB
slides_02-02-realWorldSpellCorrect.pdf	804.3 KB
slides_02-02-spellCorrectionTask.pdf	771.9 KB
slides_02-02-StateoftheArtSystems.pdf	590.0 KB
5 - 2 - The Noisy Channel Model of Spelling (19_30).srt	31.6 KB
5 - 2 - The Noisy Channel Model of Spelling (19_30).txt	17.8 KB
5 - 3 - Real-Word Spelling Correction (9_19).srt	12.1 KB
5 - 4 - State of the Art Systems (7_10).srt	10.2 KB
5 - 3 - Real-Word Spelling Correction (9_19).txt	8.3 KB
5 - 1 - The Spelling Correction Task (5_39).srt	8.0 KB
5 - 4 - State of the Art Systems (7_10).txt	7.0 KB
5 - 1 - The Spelling Correction Task (5_39).txt	5.5 KB
/19 - Week 7 - Ranked Information Retrieval/
19 - 6 - The Vector Space Model (16_22).mp4	17.8 MB
19 - 7 - Calculating TF-IDF Cosine Scores (12_47).mp4	13.9 MB
19 - 4 - Inverse Document Frequency Weighting (10_16).mp4	11.7 MB
19 - 8 - Evaluating Search Engines (9_02).mp4	9.2 MB
19 - 3 - Term Frequency Weighting (5_59).mp4	6.7 MB
19 - 2 - Scoring with the Jaccard Coefficient (5_06).mp4	5.7 MB
19 - 1 - Introducing Ranked Retrieval (4_27).mp4	4.8 MB
19 - 5 - TF-IDF Weighting (3_42).mp4	4.3 MB
slides_05-02-06-IR-VectorSpaceModel.pdf	258.6 KB
slides_05-02-06-IR-VectorSpaceModel.pptx	205.2 KB
slides_05-02-03-IR-TermFreqWeighting.pdf	189.5 KB
slides_05-02-07-IR-CosineScore.pdf	163.8 KB
slides_05-02-07-IR-CosineScore.pptx	143.9 KB
slides_05-02-04-IR-IDFWeighting.pdf	141.4 KB
slides_05-02-05-IR-TFIDF.pdf	136.1 KB
slides_05-02-05-IR-TFIDF.pptx	102.9 KB
slides_05-02-03-IR-TermFreqWeighting.pptx	96.1 KB
slides_05-02-04-IR-IDFWeighting.pptx	93.0 KB
slides_05-02-09-IR-EvalSearchEngines-abridged.pdf	92.3 KB
slides_05-02-02-IR-JaccardCoefficient.pdf	84.3 KB
slides_05-02-01-IR-IntroRankedRetrieval.pptx	78.8 KB
slides_05-02-01-IR-IntroRankedRetrieval.pdf	77.6 KB
slides_05-02-02-IR-JaccardCoefficient.pptx	68.6 KB
slides_05-02-09-IR-EvalSearchEngines-abridged.pptx	64.5 KB
19 - 6 - The Vector Space Model (16_22).srt	20.1 KB
19 - 7 - Calculating TF-IDF Cosine Scores (12_47).srt	15.8 KB
19 - 6 - The Vector Space Model (16_22).txt	13.7 KB
19 - 4 - Inverse Document Frequency Weighting (10_16).srt	12.7 KB
19 - 8 - Evaluating Search Engines (9_02).srt	11.5 KB
19 - 7 - Calculating TF-IDF Cosine Scores (12_47).txt	10.8 KB
19 - 4 - Inverse Document Frequency Weighting (10_16).txt	8.7 KB
19 - 8 - Evaluating Search Engines (9_02).txt	7.9 KB
19 - 3 - Term Frequency Weighting (5_59).srt	7.5 KB
19 - 2 - Scoring with the Jaccard Coefficient (5_06).srt	6.2 KB
19 - 1 - Introducing Ranked Retrieval (4_27).srt	6.1 KB
19 - 3 - Term Frequency Weighting (5_59).txt	5.2 KB
19 - 2 - Scoring with the Jaccard Coefficient (5_06).txt	4.3 KB
19 - 5 - TF-IDF Weighting (3_42).srt	4.2 KB
19 - 1 - Introducing Ranked Retrieval (4_27).txt	4.2 KB
19 - 5 - TF-IDF Weighting (3_42).txt	2.9 KB
/08 - Week 4 - Discriminative classifiers Maximum Entropy classifiers/
8 - 2 - Making features from text for discriminative NLP models (18_11).mp4	17.5 MB
8 - 3 - Feature-Based Linear Classifiers (13_34).mp4	14.1 MB
8 - 5 - Generative vs. Discriminative models_ The problem of overcounting evidence (12_15).mp4	12.8 MB
8 - 6 - Maximizing the Likelihood (10_29).mp4	10.3 MB
8 - 1 - Generative vs. Discriminative Models (7_49).mp4	8.3 MB
8 - 4 - Building a Maxent Model_ The Nuts and Bolts (8_04).mp4	8.2 MB
slides_04-01-Maximizing_the_Likelihood.pdf	1.5 MB
slides_04-01-Maximizing_the_Likelihood.pptx	1.5 MB
slides_04-01-Feature-based_Linear_Classifiers.pdf	804.9 KB
slides_04-01-Feature-based_Linear_Classifiers.pptx	773.2 KB
slides_04-01-Discriminative_Model_Features.pdf	748.2 KB
slides_04-01-Discriminative_Model_Features.pptx	695.7 KB
slides_04-01-Building_a_Maxent_Model.pdf	651.5 KB
slides_04-01-Generative_vs_Distriminative_Models.pdf	635.9 KB
slides_04-01-Generative_vs._Discriminative_Models-The_Problem_of_Overcounting_Evidence.pptx	633.3 KB
slides_04-01-Generative_vs_Distriminative_Models.pptx	623.2 KB
slides_04-01-Building_a_Maxent_Model.pptx	610.5 KB
slides_04-01-Generative_vs._Discriminative_Models-The_Problem_of_Overcounting_Evidence.pdf	606.7 KB
8 - 2 - Making features from text for discriminative NLP models (18_11).srt	22.4 KB
8 - 3 - Feature-Based Linear Classifiers (13_34).srt	16.0 KB
8 - 2 - Making features from text for discriminative NLP models (18_11).txt	15.3 KB
8 - 5 - Generative vs. Discriminative models_ The problem of overcounting evidence (12_15).srt	14.6 KB
8 - 6 - Maximizing the Likelihood (10_29).srt	12.8 KB
8 - 3 - Feature-Based Linear Classifiers (13_34).txt	11.0 KB
8 - 1 - Generative vs. Discriminative Models (7_49).srt	10.1 KB
8 - 5 - Generative vs. Discriminative models_ The problem of overcounting evidence (12_15).txt	10.0 KB
8 - 4 - Building a Maxent Model_ The Nuts and Bolts (8_04).srt	9.7 KB
8 - 6 - Maximizing the Likelihood (10_29).txt	8.8 KB
8 - 1 - Generative vs. Discriminative Models (7_49).txt	6.9 KB
8 - 4 - Building a Maxent Model_ The Nuts and Bolts (8_04).txt	6.6 KB
/06 - Week 3 - Text Classification/
6 - 7 - Precision, Recall, and the F measure (16_16).mp4	16.5 MB
6 - 8 - Text Classification_ Evaluation (7_17).mp4	12.1 MB
6 - 6 - Multinomial Naive Bayes_ A Worked Example (8_58).mp4	11.9 MB
6 - 3 - Formalizing the Naive Bayes Classifier (9_28).mp4	8.6 MB
6 - 1 - What is Text Classification_ (8_12).mp4	8.1 MB
6 - 9 - Practical Issues in Text Classification (5_56).mp4	6.9 MB
6 - 4 - Naive Bayes_ Learning (5_22).mp4	6.5 MB
6 - 5 - Naive Bayes_ Relationship to Language Modeling (4_35).mp4	4.3 MB
6 - 2 - Naive Bayes (3_19).mp4	3.4 MB
slides_03-01-NBLearning.pptx	1.2 MB
slides_03-01-FormalizingNB.pptx	1.1 MB
slides_03-01-FormalizingNB.pdf	1.1 MB
slides_03-01-taskTextClass.pptx	917.5 KB
slides_03-01-NBLearning.pdf	834.2 KB
slides_03-01-taskTextClass.pdf	800.4 KB
slides_03-01-textClassPractical.pptx	766.5 KB
slides_03-01-MultinomNBexample.pptx	724.0 KB
slides_03-01-textClassEval.pptx	720.1 KB
slides_03-01-textClassEval.pdf	708.3 KB
slides_03-01-textClassPractical.pdf	690.0 KB
slides_03-01-NaiveBayes.pdf	679.5 KB
slides_03-01-precisionRecallFmeasure.pptx	678.8 KB
slides_03-01-NaiveBayes.pptx	669.7 KB
slides_03-01-NBRelationLM.pptx	657.0 KB
slides_03-01-MultinomNBexample.pdf	648.0 KB
slides_03-01-NBRelationLM.pdf	643.3 KB
slides_03-01-precisionRecallFmeasure.pdf	638.2 KB
6 - 7 - Precision, Recall, and the F measure (16_16).srt	18.5 KB
6 - 7 - Precision, Recall, and the F measure (16_16).txt	12.7 KB
6 - 3 - Formalizing the Naive Bayes Classifier (9_28).srt	12.0 KB
6 - 8 - Text Classification_ Evaluation (7_17).srt	11.2 KB
6 - 6 - Multinomial Naive Bayes_ A Worked Example (8_58).srt	10.6 KB
6 - 1 - What is Text Classification_ (8_12).srt	10.5 KB
6 - 9 - Practical Issues in Text Classification (5_56).srt	8.7 KB
6 - 3 - Formalizing the Naive Bayes Classifier (9_28).txt	8.2 KB
6 - 4 - Naive Bayes_ Learning (5_22).srt	8.1 KB
6 - 8 - Text Classification_ Evaluation (7_17).txt	7.6 KB
6 - 6 - Multinomial Naive Bayes_ A Worked Example (8_58).txt	7.3 KB
6 - 1 - What is Text Classification_ (8_12).txt	7.2 KB
6 - 5 - Naive Bayes_ Relationship to Language Modeling (4_35).srt	6.1 KB
6 - 9 - Practical Issues in Text Classification (5_56).txt	6.0 KB
6 - 4 - Naive Bayes_ Learning (5_22).txt	4.9 KB
6 - 2 - Naive Bayes (3_19).srt	4.6 KB
6 - 5 - Naive Bayes_ Relationship to Language Modeling (4_35).txt	4.2 KB
6 - 2 - Naive Bayes (3_19).txt	3.2 KB
/12 - Week 5 - POS Tagging/
13 - 3 - The Exponential Problem in Parsing (14_30).mp4	15.6 MB
12 - 2 - Some Methods and Results on Sequence Models for POS Tagging (13_04).mp4	13.4 MB
12 - 1 - An Intro to Parts of Speech and POS Tagging (13_19).mp4	12.5 MB
slides_05-06-PosTagging_Models.pdf	668.4 KB
slides_05-05-PosTagging_Intro.pdf	666.0 KB
slides_05-05-PosTagging_Intro.pptx	634.1 KB
slides_05-06-PosTagging_Models.pptx	625.2 KB
12 - 1 - An Intro to Parts of Speech and POS Tagging (13_19).srt	17.9 KB
12 - 2 - Some Methods and Results on Sequence Models for POS Tagging (13_04).srt	17.3 KB
12 - 1 - An Intro to Parts of Speech and POS Tagging (13_19).txt	12.3 KB
12 - 2 - Some Methods and Results on Sequence Models for POS Tagging (13_04).txt	11.9 KB
/13 - Week 5 - Parsing Introduction/
13 - 3 - The Exponential Problem in Parsing (14_30).mp4	15.6 MB
13 - 1 - Syntactic Structure_ Constituency vs Dependency (8_46).mp4	9.4 MB
13 - 2 - Empirical_Data-Driven Approach to Parsing (7_11).mp4	7.6 MB
slides_Parsing-03-Exponential-Problems.pptx	794.4 KB
slides_Parsing-01-Constituency-Dependency.pdf	748.4 KB
slides_Parsing-03-Exponential-Problems.pdf	743.6 KB
slides_Parsing-01-Constituency-Dependency.pptx	711.4 KB
slides_Parsing-02-Why-Empirical.pptx	660.1 KB
slides_Parsing-02-Why-Empirical.pdf	622.5 KB
13 - 3 - The Exponential Problem in Parsing (14_30).srt	17.3 KB
13 - 3 - The Exponential Problem in Parsing (14_30).txt	11.9 KB
13 - 1 - Syntactic Structure_ Constituency vs Dependency (8_46).srt	10.8 KB
13 - 2 - Empirical_Data-Driven Approach to Parsing (7_11).srt	9.4 KB
13 - 1 - Syntactic Structure_ Constituency vs Dependency (8_46).txt	7.4 KB
13 - 2 - Empirical_Data-Driven Approach to Parsing (7_11).txt	6.5 KB
/09 - Week 4 - Named entity recognition and Maximum Entropy Sequence Models/
9 - 3 - Sequence Models for Named Entity Recognition (15_05).mp4	14.8 MB
9 - 4 - Maximum Entropy Sequence Models (13_01).mp4	13.9 MB
9 - 1 - Introduction to Information Extraction (9_18).mp4	9.8 MB
9 - 2 - Evaluation of Named Entity Recognition (6_34).mp4	7.1 MB
slides_04-02-Sequence_Models_for_Named_Entity_Recognition.pdf	756.5 KB
slides_04-02-Introducing_the_Tasks-v2.pptx	746.9 KB
slides_04-02-Maximum_Entropy_Sequence_Models-v2.pdf	735.0 KB
slides_04-02-Sequence_Models_for_Named_Entity_Recognition.pptx	727.0 KB
slides_04-02-Maximum_Entropy_Sequence_Models-v2.pptx	722.9 KB
slides_04-02-Introducing_the_Tasks-v2.pdf	679.2 KB
slides_04-02-Evaluation_of_Named_Entity_Recognition-v2.pptx	612.3 KB
slides_04-02-Evaluation_of_Named_Entity_Recognition-v2.pdf	583.7 KB
9 - 3 - Sequence Models for Named Entity Recognition (15_05).srt	18.4 KB
9 - 4 - Maximum Entropy Sequence Models (13_01).srt	17.1 KB
9 - 3 - Sequence Models for Named Entity Recognition (15_05).txt	12.6 KB
9 - 1 - Introduction to Information Extraction (9_18).srt	11.9 KB
9 - 4 - Maximum Entropy Sequence Models (13_01).txt	11.7 KB
9 - 1 - Introduction to Information Extraction (9_18).txt	8.2 KB
9 - 2 - Evaluation of Named Entity Recognition (6_34).srt	7.7 KB
9 - 2 - Evaluation of Named Entity Recognition (6_34).txt	5.3 KB
/04 - Week 2 - Language Modeling/
4 - 7 - Good-Turing Smoothing (15_35).mp4	14.1 MB
4 - 3 - Evaluation and Perplexity (11_09).mp4	10.1 MB
4 - 2 - Estimating N-gram Probabilities (9_38).mp4	9.9 MB
4 - 6 - Interpolation (10_25).mp4	9.8 MB
4 - 8 - Kneser-Ney Smoothing (8_59).mp4	8.8 MB
4 - 1 - Introduction to N-grams (8_41).mp4	8.0 MB
4 - 5 - Smoothing_ Add-One (6_30).mp4	6.3 MB
4 - 4 - Generalization and Zeros (5_15).mp4	4.9 MB
slides_02-01-advKnesNeySmooth.pptx	1.2 MB
slides_02-01-advGoodTuringSmooth.pptx	996.5 KB
slides_02-01-estimNgramProbs.pptx	965.1 KB
slides_02-01-smoothingAddone.pptx	921.6 KB
slides_02-01-interpBackoff.pptx	889.7 KB
slides_02-01-ngramIntro.pptx	871.9 KB
slides_02-01-generalization.pptx	870.9 KB
slides_02-01-smoothingAddone.pdf	860.8 KB
slides_02-01-generalization.pdf	850.5 KB
slides_02-01-advKnesNeySmooth.pdf	836.8 KB
slides_02-01-estimNgramProbs.pdf	830.0 KB
slides_02-01-advGoodTuringSmooth.pdf	794.4 KB
slides_02-01-ngramIntro.pdf	766.6 KB
slides_02-01-interpBackoff.pdf	757.2 KB
slides_02-01-EvalandPerplex.pptx	690.3 KB
slides_02-01-EvalandPerplex.pdf	634.4 KB
4 - 7 - Good-Turing Smoothing (15_35).srt	20.4 KB
4 - 3 - Evaluation and Perplexity (11_09).srt	15.5 KB
4 - 7 - Good-Turing Smoothing (15_35).txt	14.0 KB
4 - 6 - Interpolation (10_25).srt	14.0 KB
4 - 8 - Kneser-Ney Smoothing (8_59).srt	13.4 KB
4 - 1 - Introduction to N-grams (8_41).srt	12.3 KB
4 - 2 - Estimating N-gram Probabilities (9_38).srt	12.0 KB
4 - 3 - Evaluation and Perplexity (11_09).txt	10.6 KB
4 - 6 - Interpolation (10_25).txt	9.6 KB
4 - 8 - Kneser-Ney Smoothing (8_59).txt	9.0 KB
4 - 1 - Introduction to N-grams (8_41).txt	8.4 KB
4 - 2 - Estimating N-gram Probabilities (9_38).txt	8.3 KB
4 - 5 - Smoothing_ Add-One (6_30).srt	8.2 KB
4 - 4 - Generalization and Zeros (5_15).srt	7.2 KB
4 - 5 - Smoothing_ Add-One (6_30).txt	5.6 KB
4 - 4 - Generalization and Zeros (5_15).txt	5.0 KB
/22 - Week 8 - Summarization/
22 - 4 - Summarizing Multiple Documents.mp4	14.1 MB
22 - 2 - Generating Snippets.mp4	10.1 MB
22 - 3 - Evaluating Summaries_ ROUGE.mp4	6.8 MB
22 - 1 - Introduction to Summarization.mp4	6.3 MB
slides_08-Summarization-02-Snippets.pptx	1.1 MB
slides_08-Summarization-04-Multiple.pptx	1.1 MB
slides_08-Summarization-04-Multiple.pdf	976.0 KB
slides_08-Summarization-02-Snippets.pdf	916.2 KB
slides_08-Summarization-01-Intro.pptx	864.8 KB
slides_08-Summarization-01-Intro.pdf	766.6 KB
slides_08-Summarization-03-Evaluation.pptx	708.3 KB
slides_08-Summarization-03-Evaluation.pdf	620.5 KB
22 - 4 - Summarizing Multiple Documents.srt	16.3 KB
22 - 2 - Generating Snippets.srt	11.6 KB
22 - 4 - Summarizing Multiple Documents.txt	11.2 KB
22 - 2 - Generating Snippets.txt	7.9 KB
22 - 1 - Introduction to Summarization.srt	7.2 KB
22 - 3 - Evaluating Summaries_ ROUGE.srt	6.6 KB
22 - 1 - Introduction to Summarization.txt	4.9 KB
22 - 3 - Evaluating Summaries_ ROUGE.txt	4.5 KB
/02 - Week 1 - Basic Text Processing/
2 - 3 - Word Tokenization (14_26).mp4	13.1 MB
2 - 1 - Regular Expressions (11_25).mp4	11.4 MB
2 - 4 - Word Normalization and Stemming (11_47).mp4	10.6 MB
2 - 2 - Regular Expressions in Practical NLP (6_04).mp4	8.4 MB
2 - 5 - Sentence Segmentation (5_31).mp4	5.2 MB
slides_01-02-regexp.pptx	714.4 KB
slides_01-02-wordtok.pdf	687.5 KB
slides_01-02-wordtok.pptx	686.4 KB
slides_01-02-sentsegment.pptx	684.9 KB
slides_01-02-normalization.pptx	673.6 KB
slides_01-02-regexp.pdf	668.0 KB
slides_01-02-normalization.pdf	631.6 KB
slides_01-02-sentsegment.pdf	625.4 KB
2 - 3 - Word Tokenization (14_26).srt	20.0 KB
2 - 1 - Regular Expressions (11_25).srt	14.8 KB
2 - 4 - Word Normalization and Stemming (11_47).srt	14.6 KB
2 - 3 - Word Tokenization (14_26).txt	13.7 KB
2 - 1 - Regular Expressions (11_25).txt	10.1 KB
2 - 4 - Word Normalization and Stemming (11_47).txt	10.0 KB
2 - 2 - Regular Expressions in Practical NLP (6_04).srt	7.9 KB
2 - 5 - Sentence Segmentation (5_31).srt	7.8 KB
2 - 2 - Regular Expressions in Practical NLP (6_04).txt	5.4 KB
2 - 5 - Sentence Segmentation (5_31).txt	5.3 KB
/01 - Week 1 - Course Introduction/
1 - 1 - Course Introduction (14_11).mp4	12.9 MB
intro.pdf	2.8 MB
slides_intro.pdf	2.8 MB
intro.pptx	2.1 MB
slides_intro.pptx	2.1 MB
1 - 1 - Course Introduction (14_11).srt	18.8 KB
1 - 1 - Course Introduction (14_11).txt	12.8 KB
/10 - Week 4 - Relation Extraction/
10 - 3 - Supervised Relation Extraction (10_51).mp4	10.8 MB
10 - 1 - What is Relation Extraction_ (9_47).mp4	10.7 MB
10 - 4 - Semi-Supervised and Unsupervised Relation Extraction (9_53).mp4	10.6 MB
10 - 2 - Using Patterns to Extract Relations (6_17).mp4	6.4 MB
slides_06-08-Supervised-Relation-Extraction-v2.pdf	4.1 MB
slides_06-09-Semi-Supervised-and-Unsupervised-Relation-Extraction-v2.pdf	3.5 MB
slides_06-07-Using-Patterns-To-Extract-Relations-v2.pdf	3.2 MB
slides_06-06-What-Is-Relation-Extraction-.pptx	1.4 MB
slides_06-06-What-Is-Relation-Extraction-v2.pdf	1.2 MB
slides_06-08-Supervised-Relation-Extraction.pptx	913.2 KB
slides_06-07-Using-Patterns-To-Extract-Relations.pptx	763.7 KB
slides_06-09-Semi-Supervised-and-Unsupervised-Relation-Extraction.pptx	716.9 KB
10 - 3 - Supervised Relation Extraction (10_51).srt	16.6 KB
10 - 4 - Semi-Supervised and Unsupervised Relation Extraction (9_53).srt	14.8 KB
10 - 1 - What is Relation Extraction_ (9_47).srt	13.8 KB
10 - 3 - Supervised Relation Extraction (10_51).txt	11.4 KB
10 - 4 - Semi-Supervised and Unsupervised Relation Extraction (9_53).txt	10.1 KB
10 - 1 - What is Relation Extraction_ (9_47).txt	9.4 KB
10 - 2 - Using Patterns to Extract Relations (6_17).srt	9.2 KB
10 - 2 - Using Patterns to Extract Relations (6_17).txt	6.3 KB
/21 - Week 8 - Question Answering/
21 - 2 - Answer Types and Query Formulation (8_47).mp4	10.6 MB
21 - 1 - What is Question Answering_ (7_28).mp4	9.3 MB
21 - 3 - Passage Retrieval and Answer Extraction (6_38).mp4	8.1 MB
21 - 5 - Advanced_ Answering Complex Questions (4_52).mp4	6.5 MB
21 - 4 - Using Knowledge in QA (4_25).mp4	5.5 MB
slides_07-06-What-is-Question-Answering.pptx	1.2 MB
slides_07-07-Answer-Types-and-Query-Formulation.pptx	1.1 MB
slides_07-07-Answer-Types-and-Query-Formulation.pdf	985.2 KB
slides_07-06-What-is-Question-Answering.pdf	979.9 KB
slides_07-08-Passage-Retrieval-and-Answer-Extraction.pptx	841.4 KB
slides_07-10-Advanced-Answering-Complex-Questions.pptx	838.8 KB
slides_07-09-Using-Knowledge-In-QA.pptx	783.2 KB
slides_07-08-Passage-Retrieval-and-Answer-Extraction.pdf	739.9 KB
slides_07-10-Advanced-Answering-Complex-Questions.pdf	727.4 KB
slides_07-09-Using-Knowledge-In-QA.pdf	682.2 KB
21 - 2 - Answer Types and Query Formulation (8_47).srt	12.8 KB
21 - 1 - What is Question Answering_ (7_28).srt	10.6 KB
21 - 3 - Passage Retrieval and Answer Extraction (6_38).srt	9.7 KB
21 - 2 - Answer Types and Query Formulation (8_47).txt	8.8 KB
21 - 1 - What is Question Answering_ (7_28).txt	7.3 KB
21 - 5 - Advanced_ Answering Complex Questions (4_52).srt	7.0 KB
21 - 3 - Passage Retrieval and Answer Extraction (6_38).txt	6.7 KB
21 - 4 - Using Knowledge in QA (4_25).srt	6.6 KB
21 - 5 - Advanced_ Answering Complex Questions (4_52).txt	4.8 KB
21 - 4 - Using Knowledge in QA (4_25).txt	4.5 KB
/03 - Week 1 - Edit Distance/
3 - 5 - Minimum Edit Distance in Computational Biology (9_29).mp4	9.4 MB
3 - 1 - Defining Minimum Edit Distance (7_04).mp4	6.9 MB
3 - 3 - Backtrace for Computing Alignments (5_55).mp4	5.8 MB
3 - 2 - Computing Minimum Edit Distance (5_54).mp4	5.6 MB
3 - 4 - Weighted Minimum Edit Distance (2_47).mp4	3.0 MB
slides_01-03-weighted.pptx	944.9 KB
slides_01-03-weighted.pdf	938.2 KB
slides_01-03-backtrace.pptx	787.8 KB
slides_01-03-backtrace.pdf	728.7 KB
slides_01-03-defineMinEdit.pptx	716.2 KB
slides_01-03-combio.pptx	714.8 KB
slides_01-03-computingmineditdistance.pptx	710.3 KB
slides_01-03-combio.pdf	689.1 KB
slides_01-03-defineMinEdit.pdf	662.4 KB
slides_01-03-computingmineditdistance.pdf	625.2 KB
3 - 5 - Minimum Edit Distance in Computational Biology (9_29).srt	11.3 KB
3 - 1 - Defining Minimum Edit Distance (7_04).srt	9.0 KB
3 - 5 - Minimum Edit Distance in Computational Biology (9_29).txt	7.8 KB
3 - 3 - Backtrace for Computing Alignments (5_55).srt	7.2 KB
3 - 2 - Computing Minimum Edit Distance (5_54).srt	6.8 KB
3 - 1 - Defining Minimum Edit Distance (7_04).txt	6.2 KB
3 - 3 - Backtrace for Computing Alignments (5_55).txt	4.9 KB
3 - 2 - Computing Minimum Edit Distance (5_54).txt	4.7 KB
3 - 4 - Weighted Minimum Edit Distance (2_47).srt	3.9 KB
3 - 4 - Weighted Minimum Edit Distance (2_47).txt	2.6 KB
Total files 505