Natural Language Processing

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Natural Language Processing

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种子哈希：111e8dad4aec6fcceff2fb5c29db95cd8f1f3d53
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收录时间：2017-02-08
最近下载：2025-09-18

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文件列表

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

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