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File Name
Size
17 - Week 6 - Dependency Parsing (Optional)/17 - 2 - Greedy Transition-Based Parsing (31_05).mp4
31 MB
11 - Week 5 - Advanced Maximum Entropy Models/11 - 4 - Smoothing_Regularization_Priors for Maxent Models (29_24).mp4
29 MB
15 - Week 6 - Probabilistic Parsing/15 - 3 - CKY Parsing (23_25).mp4
26 MB
14 - Week 5 - Instructor Chat/14 - 1 - Instructor Chat (9_02).mp4
24 MB
15 - Week 6 - Probabilistic Parsing/15 - 4 - CKY Example (21_52).mp4
23 MB
16 - Week 6 - Lexicalized Parsing/16 - 4 - The Return of Unlexicalized PCFGs (20_53).mp4
21 MB
18 - Week 7 - Information Retrieval/18 - 5 - Phrase Queries and Positional Indexes (19_45).mp4
21 MB
20 - Week 8.1 - Semantics/20 - 3 - Word Similarity and Thesaurus Methods (16_17).mp4
20 MB
16 - Week 6 - Lexicalized Parsing/16 - 2 - Charniak's Model (18_23).mp4
19 MB
07 - Week 3 - Sentiment Analysis/7 - 4 - Learning Sentiment Lexicons (14_45).mp4
19 MB
23 - Week 8 - Instructor Chat II/23 - 1 - Instructor Chat II (5_23).mp4
19 MB
05 - Week 2 - Spelling Correction/5 - 2 - The Noisy Channel Model of Spelling (19_30).mp4
18 MB
11 - Week 5 - Advanced Maximum Entropy Models/11 - 1 - The Maximum Entropy Model Presentation (12_14).mp4
17 MB
19 - Week 7 - Ranked Information Retrieval/19 - 6 - The Vector Space Model (16_22).mp4
17 MB
08 - Week 4 - Discriminative classifiers Maximum Entropy classifiers/8 - 2 - Making features from text for discriminative NLP models (18_11).mp4
17 MB
15 - Week 6 - Probabilistic Parsing/15 - 1 - CFGs and PCFGs (15_29).mp4
17 MB
06 - Week 3 - Text Classification/6 - 7 - Precision, Recall, and the F measure (16_16).mp4
16 MB
20 - Week 8.1 - Semantics/20 - 4 - Word Similarity_ Distributional Similarity I (13_14).mp4
15 MB
20 - Week 8.1 - Semantics/20 - 1 - Word Senses and Word Relations (11_50).mp4
15 MB
12 - Week 5 - POS Tagging/13 - 3 - The Exponential Problem in Parsing (14_30).mp4
15 MB
13 - Week 5 - Parsing Introduction/13 - 3 - The Exponential Problem in Parsing (14_30).mp4
15 MB
07 - Week 3 - Sentiment Analysis/7 - 5 - Other Sentiment Tasks (11_01).mp4
14 MB
09 - Week 4 - Named entity recognition and Maximum Entropy Sequence Models/9 - 3 - Sequence Models for Named Entity Recognition (15_05).mp4
14 MB
08 - Week 4 - Discriminative classifiers Maximum Entropy classifiers/8 - 3 - Feature-Based Linear Classifiers (13_34).mp4
14 MB
04 - Week 2 - Language Modeling/4 - 7 - Good-Turing Smoothing (15_35).mp4
13 MB
22 - Week 8 - Summarization/22 - 4 - Summarizing Multiple Documents.mp4
13 MB
09 - Week 4 - Named entity recognition and Maximum Entropy Sequence Models/9 - 4 - Maximum Entropy Sequence Models (13_01).mp4
13 MB
19 - Week 7 - Ranked Information Retrieval/19 - 7 - Calculating TF-IDF Cosine Scores (12_47).mp4
13 MB
07 - Week 3 - Sentiment Analysis/7 - 2 - Sentiment Analysis_ A baseline algorithm (13_27).mp4
13 MB
12 - Week 5 - POS Tagging/12 - 2 - Some Methods and Results on Sequence Models for POS Tagging (13_04).mp4
13 MB
11 - Week 5 - Advanced Maximum Entropy Models/11 - 2 - Feature Overlap_Feature Interaction (12_51).mp4
13 MB
16 - Week 6 - Lexicalized Parsing/16 - 5 - Latent Variable PCFGs (12_07).mp4
13 MB
02 - Week 1 - Basic Text Processing/2 - 3 - Word Tokenization (14_26).mp4
12 MB
01 - Week 1 - Course Introduction/1 - 1 - Course Introduction (14_11).mp4
12 MB
08 - Week 4 - Discriminative classifiers Maximum Entropy classifiers/8 - 5 - Generative vs. Discriminative models_ The problem of overcounting evidence (12_15).mp4
12 MB
15 - Week 6 - Probabilistic Parsing/15 - 2 - Grammar Transforms (12_05).mp4
12 MB
12 - Week 5 - POS Tagging/12 - 1 - An Intro to Parts of Speech and POS Tagging (13_19).mp4
12 MB
06 - Week 3 - Text Classification/6 - 8 - Text Classification_ Evaluation (7_17).mp4
12 MB
06 - Week 3 - Text Classification/6 - 6 - Multinomial Naive Bayes_ A Worked Example (8_58).mp4
11 MB
17 - Week 6 - Dependency Parsing (Optional)/17 - 1 - Dependency Parsing Introduction (10_25).mp4
11 MB
19 - Week 7 - Ranked Information Retrieval/19 - 4 - Inverse Document Frequency Weighting (10_16).mp4
11 MB
02 - Week 1 - Basic Text Processing/2 - 1 - Regular Expressions (11_25).mp4
11 MB
18 - Week 7 - Information Retrieval/18 - 3 - The Inverted Index (10_42).mp4
11 MB
15 - Week 6 - Probabilistic Parsing/15 - 5 - Constituency Parser Evaluation (9_45).mp4
11 MB
07 - Week 3 - Sentiment Analysis/7 - 3 - Sentiment Lexicons (8_37).mp4
11 MB
10 - Week 4 - Relation Extraction/10 - 3 - Supervised Relation Extraction (10_51).mp4
10 MB
10 - Week 4 - Relation Extraction/10 - 1 - What is Relation Extraction_ (9_47).mp4
10 MB
21 - Week 8 - Question Answering/21 - 2 - Answer Types and Query Formulation (8_47).mp4
10 MB
02 - Week 1 - Basic Text Processing/2 - 4 - Word Normalization and Stemming (11_47).mp4
10 MB
10 - Week 4 - Relation Extraction/10 - 4 - Semi-Supervised and Unsupervised Relation Extraction (9_53).mp4
10 MB
16 - Week 6 - Lexicalized Parsing/16 - 3 - PCFG Independence Assumptions (9_44).mp4
9.8 MB
08 - Week 4 - Discriminative classifiers Maximum Entropy classifiers/8 - 6 - Maximizing the Likelihood (10_29).mp4
9.8 MB
22 - Week 8 - Summarization/22 - 2 - Generating Snippets.mp4
9.6 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
9.6 MB
04 - Week 2 - Language Modeling/4 - 2 - Estimating N-gram Probabilities (9_38).mp4
9.5 MB
20 - Week 8.1 - Semantics/20 - 5 - Word Similarity_ Distributional Similarity II (8_15).mp4
9.5 MB
09 - Week 4 - Named entity recognition and Maximum Entropy Sequence Models/9 - 1 - Introduction to Information Extraction (9_18).mp4
9.4 MB
04 - Week 2 - Language Modeling/4 - 6 - Interpolation (10_25).mp4
9.4 MB
18 - Week 7 - Information Retrieval/18 - 1 - Introduction to Information Retrieval (9_16).mp4
9.1 MB
18 - Week 7 - Information Retrieval/18 - 2 - Term-Document Incidence Matrices (8_59).mp4
9.0 MB
13 - Week 5 - Parsing Introduction/13 - 1 - Syntactic Structure_ Constituency vs Dependency (8_46).mp4
9.0 MB
03 - Week 1 - Edit Distance/3 - 5 - Minimum Edit Distance in Computational Biology (9_29).mp4
9.0 MB
21 - Week 8 - Question Answering/21 - 1 - What is Question Answering_ (7_28).mp4
8.9 MB
19 - Week 7 - Ranked Information Retrieval/19 - 8 - Evaluating Search Engines (9_02).mp4
8.8 MB
20 - Week 8.1 - Semantics/20 - 2 - WordNet and Other Online Thesauri (6_23).mp4
8.7 MB
05 - Week 2 - Spelling Correction/5 - 3 - Real-Word Spelling Correction (9_19).mp4
8.6 MB
04 - Week 2 - Language Modeling/4 - 8 - Kneser-Ney Smoothing (8_59).mp4
8.4 MB
06 - Week 3 - Text Classification/6 - 3 - Formalizing the Naive Bayes Classifier (9_28).mp4
8.2 MB
02 - Week 1 - Basic Text Processing/2 - 2 - Regular Expressions in Practical NLP (6_04).mp4
8.0 MB
08 - Week 4 - Discriminative classifiers Maximum Entropy classifiers/8 - 1 - Generative vs. Discriminative Models (7_49).mp4
7.9 MB
08 - Week 4 - Discriminative classifiers Maximum Entropy classifiers/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
7.7 MB
04 - Week 2 - Language Modeling/4 - 1 - Introduction to N-grams (8_41).mp4
7.6 MB
13 - Week 5 - Parsing Introduction/13 - 2 - Empirical_Data-Driven Approach to Parsing (7_11).mp4
7.2 MB
17 - Week 6 - Dependency Parsing (Optional)/17 - 3 - Dependencies Encode Relational Structure (7_20).mp4
7.2 MB
16 - Week 6 - Lexicalized Parsing/16 - 1 - Lexicalization of PCFGs (7_03).mp4
7.1 MB
09 - Week 4 - Named entity recognition and Maximum Entropy Sequence Models/9 - 2 - Evaluation of Named Entity Recognition (6_34).mp4
6.8 MB
18 - Week 7 - Information Retrieval/18 - 4 - Query Processing with the Inverted Index (6_43).mp4
6.7 MB
05 - Week 2 - Spelling Correction/5 - 4 - State of the Art Systems (7_10).mp4
6.6 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
6.6 MB
22 - Week 8 - Summarization/22 - 3 - Evaluating Summaries_ ROUGE.mp4
6.5 MB
19 - Week 7 - Ranked Information Retrieval/19 - 3 - Term Frequency Weighting (5_59).mp4
6.4 MB
06 - Week 3 - Text Classification/6 - 4 - Naive Bayes_ Learning (5_22).mp4
6.2 MB
21 - Week 8 - Question Answering/21 - 5 - Advanced_ Answering Complex Questions (4_52).mp4
6.2 MB
10 - Week 4 - Relation Extraction/10 - 2 - Using Patterns to Extract Relations (6_17).mp4
6.1 MB
04 - Week 2 - Language Modeling/4 - 5 - Smoothing_ Add-One (6_30).mp4
6.0 MB
22 - Week 8 - Summarization/22 - 1 - Introduction to Summarization.mp4
6.0 MB
03 - Week 1 - Edit Distance/3 - 3 - Backtrace for Computing Alignments (5_55).mp4
5.5 MB
19 - Week 7 - Ranked Information Retrieval/19 - 2 - Scoring with the Jaccard Coefficient (5_06).mp4
5.4 MB
03 - Week 1 - Edit Distance/3 - 2 - Computing Minimum Edit Distance (5_54).mp4
5.4 MB
21 - Week 8 - Question Answering/21 - 4 - Using Knowledge in QA (4_25).mp4
5.3 MB
02 - Week 1 - Basic Text Processing/2 - 5 - Sentence Segmentation (5_31).mp4
5.0 MB
05 - Week 2 - Spelling Correction/5 - 1 - The Spelling Correction Task (5_39).mp4
4.8 MB
11 - Week 5 - Advanced Maximum Entropy Models/11 - 3 - Conditional Maxent Models for Classification (4_11).mp4
4.8 MB
04 - Week 2 - Language Modeling/4 - 4 - Generalization and Zeros (5_15).mp4
4.7 MB
19 - Week 7 - Ranked Information Retrieval/19 - 1 - Introducing Ranked Retrieval (4_27).mp4
4.6 MB
19 - Week 7 - Ranked Information Retrieval/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
4.1 MB
10 - Week 4 - Relation Extraction/slides_06-08-Supervised-Relation-Extraction-v2.pdf
3.9 MB
10 - Week 4 - Relation Extraction/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
3.2 MB
10 - Week 4 - Relation Extraction/slides_06-07-Using-Patterns-To-Extract-Relations-v2.pdf
3.0 MB
03 - Week 1 - Edit Distance/3 - 4 - Weighted Minimum Edit Distance (2_47).mp4
2.8 MB
01 - Week 1 - Course Introduction/intro.pdf
2.6 MB
01 - Week 1 - Course Introduction/slides_intro.pdf
2.6 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
2.0 MB
01 - Week 1 - Course Introduction/slides_intro.pptx
2.0 MB
07 - Week 3 - Sentiment Analysis/slides_03-02-WhatIsSentiment.pptx
1.6 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
1.3 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
1.2 MB
11 - Week 5 - Advanced Maximum Entropy Models/slides_05-04-Maxent_Smoothing.pptx
1.2 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
1.1 MB
04 - Week 2 - Language Modeling/slides_02-01-advKnesNeySmooth.pptx
1.1 MB
06 - Week 3 - Text Classification/slides_03-01-NBLearning.pptx
1.1 MB
10 - Week 4 - Relation Extraction/slides_06-06-What-Is-Relation-Extraction-v2.pdf
1.1 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
1.1 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
1.0 MB
20 - Week 8.1 - Semantics/slides_07-05-Word-Similarity-Distributional-Similarity-II.pptx
1.0 MB
06 - Week 3 - Text Classification/slides_03-01-FormalizingNB.pdf
1.0 MB
05 - Week 2 - Spelling Correction/slides_02-02-noisychannel.pptx
1021 kB
16 - Week 6 - Lexicalized Parsing/slides_Parsing-10-LPCFGs-Charniak-Model.pptx
1005 kB
04 - Week 2 - Language Modeling/slides_02-01-advGoodTuringSmooth.pptx
973 kB
21 - Week 8 - Question Answering/slides_07-07-Answer-Types-and-Query-Formulation.pdf
962 kB
21 - Week 8 - Question Answering/slides_07-06-What-is-Question-Answering.pdf
957 kB
22 - Week 8 - Summarization/slides_08-Summarization-04-Multiple.pdf
953 kB
04 - Week 2 - Language Modeling/slides_02-01-estimNgramProbs.pptx
942 kB
03 - Week 1 - Edit Distance/slides_01-03-weighted.pptx
923 kB
05 - Week 2 - Spelling Correction/slides_02-02-spellCorrectionTask.pptx
918 kB
03 - Week 1 - Edit Distance/slides_01-03-weighted.pdf
916 kB
16 - Week 6 - Lexicalized Parsing/slides_Parsing-11-PCFGs-Independence.pptx
904 kB
04 - Week 2 - Language Modeling/slides_02-01-smoothingAddone.pptx
900 kB
06 - Week 3 - Text Classification/slides_03-01-taskTextClass.pptx
896 kB
22 - Week 8 - Summarization/slides_08-Summarization-02-Snippets.pdf
895 kB
15 - Week 6 - Probabilistic Parsing/slides_Parsing-04-CFG-PCFG.pptx
894 kB
10 - Week 4 - Relation Extraction/slides_06-08-Supervised-Relation-Extraction.pptx
892 kB
20 - Week 8.1 - Semantics/slides_07-03-Word-Similarity-Thesaurus-Methods.pdf
888 kB
16 - Week 6 - Lexicalized Parsing/slides_Parsing-13-PCFGs-Latent-Vars.pptx
869 kB
04 - Week 2 - Language Modeling/slides_02-01-interpBackoff.pptx
869 kB
16 - Week 6 - Lexicalized Parsing/slides_Parsing-13-PCFGs-Latent-Vars.pdf
867 kB
07 - Week 3 - Sentiment Analysis/slides_03-02-baselineSA.pptx
860 kB
16 - Week 6 - Lexicalized Parsing/slides_Parsing-12-PCFGs-Unlexicalized-Return.pdf
855 kB
04 - Week 2 - Language Modeling/slides_02-01-ngramIntro.pptx
852 kB
04 - Week 2 - Language Modeling/slides_02-01-generalization.pptx
850 kB
22 - Week 8 - Summarization/slides_08-Summarization-01-Intro.pptx
845 kB
04 - Week 2 - Language Modeling/slides_02-01-smoothingAddone.pdf
841 kB
05 - Week 2 - Spelling Correction/slides_02-02-StateoftheArtSystems.pptx
838 kB
16 - Week 6 - Lexicalized Parsing/slides_Parsing-09-LPCFGs-Intro.pptx
831 kB
04 - Week 2 - Language Modeling/slides_02-01-generalization.pdf
830 kB
16 - Week 6 - Lexicalized Parsing/slides_Parsing-10-LPCFGs-Charniak-Model.pdf
829 kB
07 - Week 3 - Sentiment Analysis/slides_03-02-LearningSALexicons.pdf
826 kB
21 - Week 8 - Question Answering/slides_07-08-Passage-Retrieval-and-Answer-Extraction.pptx
822 kB
21 - Week 8 - Question Answering/slides_07-10-Advanced-Answering-Complex-Questions.pptx
819 kB
05 - Week 2 - Spelling Correction/slides_02-02-realWorldSpellCorrect.pptx
818 kB
04 - Week 2 - Language Modeling/slides_02-01-advKnesNeySmooth.pdf
817 kB
17 - Week 6 - Dependency Parsing (Optional)/slides_Parsing-16-Stanford-Dependencies.pptx
815 kB
06 - Week 3 - Text Classification/slides_03-01-NBLearning.pdf
815 kB
04 - Week 2 - Language Modeling/slides_02-01-estimNgramProbs.pdf
810 kB
15 - Week 6 - Probabilistic Parsing/slides_Parsing-04-CFG-PCFG.pdf
803 kB
17 - Week 6 - Dependency Parsing (Optional)/slides_Parsing-14-Dependency-Intro.pptx
794 kB
08 - Week 4 - Discriminative classifiers Maximum Entropy classifiers/slides_04-01-Feature-based_Linear_Classifiers.pdf
786 kB
05 - Week 2 - Spelling Correction/slides_02-02-realWorldSpellCorrect.pdf
786 kB
06 - Week 3 - Text Classification/slides_03-01-taskTextClass.pdf
782 kB
07 - Week 3 - Sentiment Analysis/slides_03-02-SentimentLexicons.pptx
780 kB
04 - Week 2 - Language Modeling/slides_02-01-advGoodTuringSmooth.pdf
776 kB
13 - Week 5 - Parsing Introduction/slides_Parsing-03-Exponential-Problems.pptx
776 kB
20 - Week 8.1 - Semantics/slides_07-05-Word-Similarity-Distributional-Similarity-II.pdf
771 kB
03 - Week 1 - Edit Distance/slides_01-03-backtrace.pptx
769 kB
17 - Week 6 - Dependency Parsing (Optional)/slides_Parsing-15-Dependency-Transition-Based.pptx
766 kB
21 - Week 8 - Question Answering/slides_07-09-Using-Knowledge-In-QA.pptx
765 kB
07 - Week 3 - Sentiment Analysis/slides_03-02-baselineSA.pdf
765 kB
18 - Week 7 - Information Retrieval/slides_05-01-02-IR-TermDocIncidence.pdf
761 kB
07 - Week 3 - Sentiment Analysis/slides_03-02-SentimentLexicons.pdf
756 kB
08 - Week 4 - Discriminative classifiers Maximum Entropy classifiers/slides_04-01-Feature-based_Linear_Classifiers.pptx
755 kB
05 - Week 2 - Spelling Correction/slides_02-02-spellCorrectionTask.pdf
754 kB
11 - Week 5 - Advanced Maximum Entropy Models/slides_05-03-Maxent_Classification.pptx
752 kB
22 - Week 8 - Summarization/slides_08-Summarization-01-Intro.pdf
749 kB
04 - Week 2 - Language Modeling/slides_02-01-ngramIntro.pdf
749 kB
06 - Week 3 - Text Classification/slides_03-01-textClassPractical.pptx
748 kB
10 - Week 4 - Relation Extraction/slides_06-07-Using-Patterns-To-Extract-Relations.pptx
746 kB
11 - Week 5 - Advanced Maximum Entropy Models/slides_05-03-Maxent_Classification.pdf
742 kB
04 - Week 2 - Language Modeling/slides_02-01-interpBackoff.pdf
740 kB
09 - Week 4 - Named entity recognition and Maximum Entropy Sequence Models/slides_04-02-Sequence_Models_for_Named_Entity_Recognition.pdf
739 kB
15 - Week 6 - Probabilistic Parsing/slides_Parsing-05-Grammar-Transforms.pptx
734 kB
13 - Week 5 - Parsing Introduction/slides_Parsing-01-Constituency-Dependency.pdf
731 kB
08 - Week 4 - Discriminative classifiers Maximum Entropy classifiers/slides_04-01-Discriminative_Model_Features.pdf
731 kB
09 - Week 4 - Named entity recognition and Maximum Entropy Sequence Models/slides_04-02-Introducing_the_Tasks-v2.pptx
729 kB
17 - Week 6 - Dependency Parsing (Optional)/slides_Parsing-16-Stanford-Dependencies.pdf
728 kB
13 - Week 5 - Parsing Introduction/slides_Parsing-03-Exponential-Problems.pdf
726 kB
15 - Week 6 - Probabilistic Parsing/slides_Parsing-08-Constituency-Evaluation.pptx
726 kB
15 - Week 6 - Probabilistic Parsing/slides_Parsing-05-Grammar-Transforms.pdf
725 kB
21 - Week 8 - Question Answering/slides_07-08-Passage-Retrieval-and-Answer-Extraction.pdf
723 kB
09 - Week 4 - Named entity recognition and Maximum Entropy Sequence Models/slides_04-02-Maximum_Entropy_Sequence_Models-v2.pdf
718 kB
03 - Week 1 - Edit Distance/slides_01-03-backtrace.pdf
712 kB
21 - Week 8 - Question Answering/slides_07-10-Advanced-Answering-Complex-Questions.pdf
710 kB
09 - Week 4 - Named entity recognition and Maximum Entropy Sequence Models/slides_04-02-Sequence_Models_for_Named_Entity_Recognition.pptx
710 kB
06 - Week 3 - Text Classification/slides_03-01-MultinomNBexample.pptx
707 kB
09 - Week 4 - Named entity recognition and Maximum Entropy Sequence Models/slides_04-02-Maximum_Entropy_Sequence_Models-v2.pptx
706 kB
06 - Week 3 - Text Classification/slides_03-01-textClassEval.pptx
703 kB
10 - Week 4 - Relation Extraction/slides_06-09-Semi-Supervised-and-Unsupervised-Relation-Extraction.pptx
700 kB
03 - Week 1 - Edit Distance/slides_01-03-defineMinEdit.pptx
699 kB
03 - Week 1 - Edit Distance/slides_01-03-combio.pptx
698 kB
02 - Week 1 - Basic Text Processing/slides_01-02-regexp.pptx
698 kB
13 - Week 5 - Parsing Introduction/slides_Parsing-01-Constituency-Dependency.pptx
695 kB
03 - Week 1 - Edit Distance/slides_01-03-computingmineditdistance.pptx
694 kB
22 - Week 8 - Summarization/slides_08-Summarization-03-Evaluation.pptx
692 kB
06 - Week 3 - Text Classification/slides_03-01-textClassEval.pdf
692 kB
18 - Week 7 - Information Retrieval/slides_05-01-02-IR-TermDocIncidence.pptx
690 kB
17 - Week 6 - Dependency Parsing (Optional)/slides_Parsing-15-Dependency-Transition-Based.pdf
688 kB
15 - Week 6 - Probabilistic Parsing/slides_Parsing-08-Constituency-Evaluation.pdf
686 kB
08 - Week 4 - Discriminative classifiers Maximum Entropy classifiers/slides_04-01-Discriminative_Model_Features.pptx
679 kB
15 - Week 6 - Probabilistic Parsing/slides_Parsing-07-CKY-example.pptx
678 kB
16 - Week 6 - Lexicalized Parsing/slides_Parsing-11-PCFGs-Independence.pdf
675 kB
04 - Week 2 - Language Modeling/slides_02-01-EvalandPerplex.pptx
674 kB
06 - Week 3 - Text Classification/slides_03-01-textClassPractical.pdf
674 kB
03 - Week 1 - Edit Distance/slides_01-03-combio.pdf
673 kB
02 - Week 1 - Basic Text Processing/slides_01-02-wordtok.pdf
671 kB
02 - Week 1 - Basic Text Processing/slides_01-02-wordtok.pptx
670 kB
17 - Week 6 - Dependency Parsing (Optional)/slides_Parsing-14-Dependency-Intro.pdf
670 kB
02 - Week 1 - Basic Text Processing/slides_01-02-sentsegment.pptx
669 kB
21 - Week 8 - Question Answering/slides_07-09-Using-Knowledge-In-QA.pdf
666 kB
20 - Week 8.1 - Semantics/slides_07-01-Word-Senses-and-Word-Relations.pptx
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06 - Week 3 - Text Classification/slides_03-01-NaiveBayes.pdf
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09 - Week 4 - Named entity recognition and Maximum Entropy Sequence Models/slides_04-02-Introducing_the_Tasks-v2.pdf
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06 - Week 3 - Text Classification/slides_03-01-precisionRecallFmeasure.pptx
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02 - Week 1 - Basic Text Processing/slides_01-02-normalization.pptx
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06 - Week 3 - Text Classification/slides_03-01-NaiveBayes.pptx
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12 - Week 5 - POS Tagging/slides_05-06-PosTagging_Models.pdf
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15 - Week 6 - Probabilistic Parsing/slides_Parsing-06-CKY-introduction.pdf
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16 - Week 6 - Lexicalized Parsing/slides_Parsing-09-LPCFGs-Intro.pdf
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02 - Week 1 - Basic Text Processing/slides_01-02-regexp.pdf
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07 - Week 3 - Sentiment Analysis/slides_03-02-OtherSentimentTasks.pdf
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12 - Week 5 - POS Tagging/slides_05-05-PosTagging_Intro.pdf
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07 - Week 3 - Sentiment Analysis/slides_03-02-OtherSentimentTasks.pptx
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03 - Week 1 - Edit Distance/slides_01-03-defineMinEdit.pdf
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13 - Week 5 - Parsing Introduction/slides_Parsing-02-Why-Empirical.pptx
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11 - Week 5 - Advanced Maximum Entropy Models/slides_05-02-Maxent_Feature_Overlap.pptx
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06 - Week 3 - Text Classification/slides_03-01-NBRelationLM.pptx
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08 - Week 4 - Discriminative classifiers Maximum Entropy classifiers/slides_04-01-Building_a_Maxent_Model.pdf
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06 - Week 3 - Text Classification/slides_03-01-MultinomNBexample.pdf
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15 - Week 6 - Probabilistic Parsing/slides_Parsing-06-CKY-introduction.pptx
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20 - Week 8.1 - Semantics/slides_07-01-Word-Senses-and-Word-Relations.pdf
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06 - Week 3 - Text Classification/slides_03-01-NBRelationLM.pdf
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15 - Week 6 - Probabilistic Parsing/slides_Parsing-07-CKY-example.pdf
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06 - Week 3 - Text Classification/slides_03-01-precisionRecallFmeasure.pdf
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08 - Week 4 - Discriminative classifiers Maximum Entropy classifiers/slides_04-01-Generative_vs_Distriminative_Models.pdf
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04 - Week 2 - Language Modeling/slides_02-01-EvalandPerplex.pdf
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12 - Week 5 - POS Tagging/slides_05-05-PosTagging_Intro.pptx
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08 - Week 4 - Discriminative classifiers Maximum Entropy classifiers/slides_04-01-Generative_vs._Discriminative_Models-The_Problem_of_Overcounting_Evidence.pptx
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02 - Week 1 - Basic Text Processing/slides_01-02-normalization.pdf
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11 - Week 5 - Advanced Maximum Entropy Models/slides_05-02-Maxent_Feature_Overlap.pdf
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02 - Week 1 - Basic Text Processing/slides_01-02-sentsegment.pdf
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03 - Week 1 - Edit Distance/slides_01-03-computingmineditdistance.pdf
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12 - Week 5 - POS Tagging/slides_05-06-PosTagging_Models.pptx
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08 - Week 4 - Discriminative classifiers Maximum Entropy classifiers/slides_04-01-Generative_vs_Distriminative_Models.pptx
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13 - Week 5 - Parsing Introduction/slides_Parsing-02-Why-Empirical.pdf
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22 - Week 8 - Summarization/slides_08-Summarization-03-Evaluation.pdf
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09 - Week 4 - Named entity recognition and Maximum Entropy Sequence Models/slides_04-02-Evaluation_of_Named_Entity_Recognition-v2.pptx
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08 - Week 4 - Discriminative classifiers Maximum Entropy classifiers/slides_04-01-Building_a_Maxent_Model.pptx
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08 - Week 4 - Discriminative classifiers Maximum Entropy classifiers/slides_04-01-Generative_vs._Discriminative_Models-The_Problem_of_Overcounting_Evidence.pdf
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05 - Week 2 - Spelling Correction/slides_02-02-StateoftheArtSystems.pdf
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09 - Week 4 - Named entity recognition and Maximum Entropy Sequence Models/slides_04-02-Evaluation_of_Named_Entity_Recognition-v2.pdf
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18 - Week 7 - Information Retrieval/slides_05-01-03-IR-InvertedIndex.pptx
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18 - Week 7 - Information Retrieval/slides_05-01-03-IR-InvertedIndex.pdf
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19 - Week 7 - Ranked Information Retrieval/slides_05-02-06-IR-VectorSpaceModel.pdf
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18 - Week 7 - Information Retrieval/slides_05-01-01-IR-Introduction.pdf
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19 - Week 7 - Ranked Information Retrieval/slides_05-02-06-IR-VectorSpaceModel.pptx
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19 - Week 7 - Ranked Information Retrieval/slides_05-02-03-IR-TermFreqWeighting.pdf
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18 - Week 7 - Information Retrieval/slides_05-01-04-IR-InvIndexQueryProcessing.pdf
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19 - Week 7 - Ranked Information Retrieval/slides_05-02-07-IR-CosineScore.pdf
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18 - Week 7 - Information Retrieval/slides_05-01-04-IR-InvIndexQueryProcessing.pptx
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19 - Week 7 - Ranked Information Retrieval/slides_05-02-07-IR-CosineScore.pptx
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18 - Week 7 - Information Retrieval/slides_05-01-06-IR-PhraseQueries.pdf
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19 - Week 7 - Ranked Information Retrieval/slides_05-02-04-IR-IDFWeighting.pdf
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18 - Week 7 - Information Retrieval/slides_05-01-01-IR-Introduction.pptx
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19 - Week 7 - Ranked Information Retrieval/slides_05-02-05-IR-TFIDF.pdf
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19 - Week 7 - Ranked Information Retrieval/slides_05-02-05-IR-TFIDF.pptx
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19 - Week 7 - Ranked Information Retrieval/slides_05-02-03-IR-TermFreqWeighting.pptx
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19 - Week 7 - Ranked Information Retrieval/slides_05-02-04-IR-IDFWeighting.pptx
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19 - Week 7 - Ranked Information Retrieval/slides_05-02-09-IR-EvalSearchEngines-abridged.pdf
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18 - Week 7 - Information Retrieval/slides_05-01-06-IR-PhraseQueries.pptx
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19 - Week 7 - Ranked Information Retrieval/slides_05-02-02-IR-JaccardCoefficient.pdf
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19 - Week 7 - Ranked Information Retrieval/slides_05-02-01-IR-IntroRankedRetrieval.pptx
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19 - Week 7 - Ranked Information Retrieval/slides_05-02-01-IR-IntroRankedRetrieval.pdf
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19 - Week 7 - Ranked Information Retrieval/slides_05-02-02-IR-JaccardCoefficient.pptx
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19 - Week 7 - Ranked Information Retrieval/slides_05-02-09-IR-EvalSearchEngines-abridged.pptx
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17 - Week 6 - Dependency Parsing (Optional)/17 - 2 - Greedy Transition-Based Parsing (31_05).srt
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11 - Week 5 - Advanced Maximum Entropy Models/11 - 4 - Smoothing_Regularization_Priors for Maxent Models (29_24).srt
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05 - Week 2 - Spelling Correction/5 - 2 - The Noisy Channel Model of Spelling (19_30).srt
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15 - Week 6 - Probabilistic Parsing/15 - 3 - CKY Parsing (23_25).srt
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17 - Week 6 - Dependency Parsing (Optional)/17 - 2 - Greedy Transition-Based Parsing (31_05).txt
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11 - Week 5 - Advanced Maximum Entropy Models/11 - 4 - Smoothing_Regularization_Priors for Maxent Models (29_24).txt
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16 - Week 6 - Lexicalized Parsing/16 - 4 - The Return of Unlexicalized PCFGs (20_53).srt
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15 - Week 6 - Probabilistic Parsing/15 - 4 - CKY Example (21_52).srt
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18 - Week 7 - Information Retrieval/18 - 5 - Phrase Queries and Positional Indexes (19_45).srt
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20 - Week 8.1 - Semantics/20 - 3 - Word Similarity and Thesaurus Methods (16_17).srt
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16 - Week 6 - Lexicalized Parsing/16 - 2 - Charniak's Model (18_23).srt
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08 - Week 4 - Discriminative classifiers Maximum Entropy classifiers/8 - 2 - Making features from text for discriminative NLP models (18_11).srt
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07 - Week 3 - Sentiment Analysis/7 - 4 - Learning Sentiment Lexicons (14_45).srt
20 kB
04 - Week 2 - Language Modeling/4 - 7 - Good-Turing Smoothing (15_35).srt
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19 - Week 7 - Ranked Information Retrieval/19 - 6 - The Vector Space Model (16_22).srt
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02 - Week 1 - Basic Text Processing/2 - 3 - Word Tokenization (14_26).srt
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01 - Week 1 - Course Introduction/1 - 1 - Course Introduction (14_11).srt
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15 - Week 6 - Probabilistic Parsing/15 - 1 - CFGs and PCFGs (15_29).srt
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07 - Week 3 - Sentiment Analysis/7 - 2 - Sentiment Analysis_ A baseline algorithm (13_27).srt
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06 - Week 3 - Text Classification/6 - 7 - Precision, Recall, and the F measure (16_16).srt
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09 - Week 4 - Named entity recognition and Maximum Entropy Sequence Models/9 - 3 - Sequence Models for Named Entity Recognition (15_05).srt
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15 - Week 6 - Probabilistic Parsing/15 - 3 - CKY Parsing (23_25).txt
18 kB
12 - Week 5 - POS Tagging/12 - 1 - An Intro to Parts of Speech and POS Tagging (13_19).srt
18 kB
20 - Week 8.1 - Semantics/20 - 4 - Word Similarity_ Distributional Similarity I (13_14).srt
18 kB
05 - Week 2 - Spelling Correction/5 - 2 - The Noisy Channel Model of Spelling (19_30).txt
17 kB
13 - Week 5 - Parsing Introduction/13 - 3 - The Exponential Problem in Parsing (14_30).srt
17 kB
12 - Week 5 - POS Tagging/12 - 2 - Some Methods and Results on Sequence Models for POS Tagging (13_04).srt
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09 - Week 4 - Named entity recognition and Maximum Entropy Sequence Models/9 - 4 - Maximum Entropy Sequence Models (13_01).srt
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16 - Week 6 - Lexicalized Parsing/16 - 4 - The Return of Unlexicalized PCFGs (20_53).txt
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11 - Week 5 - Advanced Maximum Entropy Models/11 - 2 - Feature Overlap_Feature Interaction (12_51).srt
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10 - Week 4 - Relation Extraction/10 - 3 - Supervised Relation Extraction (10_51).srt
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18 - Week 7 - Information Retrieval/18 - 5 - Phrase Queries and Positional Indexes (19_45).txt
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22 - Week 8 - Summarization/22 - 4 - Summarizing Multiple Documents.srt
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15 - Week 6 - Probabilistic Parsing/15 - 4 - CKY Example (21_52).txt
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08 - Week 4 - Discriminative classifiers Maximum Entropy classifiers/8 - 3 - Feature-Based Linear Classifiers (13_34).srt
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20 - Week 8.1 - Semantics/20 - 3 - Word Similarity and Thesaurus Methods (16_17).txt
16 kB
19 - Week 7 - Ranked Information Retrieval/19 - 7 - Calculating TF-IDF Cosine Scores (12_47).srt
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20 - Week 8.1 - Semantics/20 - 1 - Word Senses and Word Relations (11_50).srt
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15 - Week 6 - Probabilistic Parsing/15 - 2 - Grammar Transforms (12_05).srt
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04 - Week 2 - Language Modeling/4 - 3 - Evaluation and Perplexity (11_09).srt
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11 - Week 5 - Advanced Maximum Entropy Models/11 - 1 - The Maximum Entropy Model Presentation (12_14).srt
15 kB
16 - Week 6 - Lexicalized Parsing/16 - 2 - Charniak's Model (18_23).txt
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08 - Week 4 - Discriminative classifiers Maximum Entropy classifiers/8 - 2 - Making features from text for discriminative NLP models (18_11).txt
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07 - Week 3 - Sentiment Analysis/7 - 5 - Other Sentiment Tasks (11_01).srt
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16 - Week 6 - Lexicalized Parsing/16 - 5 - Latent Variable PCFGs (12_07).srt
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10 - Week 4 - Relation Extraction/10 - 4 - Semi-Supervised and Unsupervised Relation Extraction (9_53).srt
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02 - Week 1 - Basic Text Processing/2 - 1 - Regular Expressions (11_25).srt
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08 - Week 4 - Discriminative classifiers Maximum Entropy classifiers/8 - 5 - Generative vs. Discriminative models_ The problem of overcounting evidence (12_15).srt
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02 - Week 1 - Basic Text Processing/2 - 4 - Word Normalization and Stemming (11_47).srt
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04 - Week 2 - Language Modeling/4 - 7 - Good-Turing Smoothing (15_35).txt
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04 - Week 2 - Language Modeling/4 - 6 - Interpolation (10_25).srt
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07 - Week 3 - Sentiment Analysis/7 - 4 - Learning Sentiment Lexicons (14_45).txt
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10 - Week 4 - Relation Extraction/10 - 1 - What is Relation Extraction_ (9_47).srt
13 kB
19 - Week 7 - Ranked Information Retrieval/19 - 6 - The Vector Space Model (16_22).txt
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02 - Week 1 - Basic Text Processing/2 - 3 - Word Tokenization (14_26).txt
13 kB
18 - Week 7 - Information Retrieval/18 - 3 - The Inverted Index (10_42).srt
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04 - Week 2 - Language Modeling/4 - 8 - Kneser-Ney Smoothing (8_59).srt
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17 - Week 6 - Dependency Parsing (Optional)/17 - 1 - Dependency Parsing Introduction (10_25).srt
13 kB
08 - Week 4 - Discriminative classifiers Maximum Entropy classifiers/8 - 6 - Maximizing the Likelihood (10_29).srt
12 kB
01 - Week 1 - Course Introduction/1 - 1 - Course Introduction (14_11).txt
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21 - Week 8 - Question Answering/21 - 2 - Answer Types and Query Formulation (8_47).srt
12 kB
15 - Week 6 - Probabilistic Parsing/15 - 1 - CFGs and PCFGs (15_29).txt
12 kB
19 - Week 7 - Ranked Information Retrieval/19 - 4 - Inverse Document Frequency Weighting (10_16).srt
12 kB
06 - Week 3 - Text Classification/6 - 7 - Precision, Recall, and the F measure (16_16).txt
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07 - Week 3 - Sentiment Analysis/7 - 2 - Sentiment Analysis_ A baseline algorithm (13_27).txt
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09 - Week 4 - Named entity recognition and Maximum Entropy Sequence Models/9 - 3 - Sequence Models for Named Entity Recognition (15_05).txt
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18 - Week 7 - Information Retrieval/18 - 1 - Introduction to Information Retrieval (9_16).srt
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04 - Week 2 - Language Modeling/4 - 1 - Introduction to N-grams (8_41).srt
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12 - Week 5 - POS Tagging/12 - 1 - An Intro to Parts of Speech and POS Tagging (13_19).txt
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20 - Week 8.1 - Semantics/20 - 4 - Word Similarity_ Distributional Similarity I (13_14).txt
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15 - Week 6 - Probabilistic Parsing/15 - 5 - Constituency Parser Evaluation (9_45).srt
12 kB
05 - Week 2 - Spelling Correction/5 - 3 - Real-Word Spelling Correction (9_19).srt
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06 - Week 3 - Text Classification/6 - 3 - Formalizing the Naive Bayes Classifier (9_28).srt
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04 - Week 2 - Language Modeling/4 - 2 - Estimating N-gram Probabilities (9_38).srt
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09 - Week 4 - Named entity recognition and Maximum Entropy Sequence Models/9 - 1 - Introduction to Information Extraction (9_18).srt
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12 - Week 5 - POS Tagging/12 - 2 - Some Methods and Results on Sequence Models for POS Tagging (13_04).txt
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13 - Week 5 - Parsing Introduction/13 - 3 - The Exponential Problem in Parsing (14_30).txt
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16 - Week 6 - Lexicalized Parsing/16 - 3 - PCFG Independence Assumptions (9_44).srt
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09 - Week 4 - Named entity recognition and Maximum Entropy Sequence Models/9 - 4 - Maximum Entropy Sequence Models (13_01).txt
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22 - Week 8 - Summarization/22 - 2 - Generating Snippets.srt
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19 - Week 7 - Ranked Information Retrieval/19 - 8 - Evaluating Search Engines (9_02).srt
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11 - Week 5 - Advanced Maximum Entropy Models/11 - 2 - Feature Overlap_Feature Interaction (12_51).txt
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10 - Week 4 - Relation Extraction/10 - 3 - Supervised Relation Extraction (10_51).txt
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03 - Week 1 - Edit Distance/3 - 5 - Minimum Edit Distance in Computational Biology (9_29).srt
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20 - Week 8.1 - Semantics/20 - 5 - Word Similarity_ Distributional Similarity II (8_15).srt
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06 - Week 3 - Text Classification/6 - 8 - Text Classification_ Evaluation (7_17).srt
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22 - Week 8 - Summarization/22 - 4 - Summarizing Multiple Documents.txt
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07 - Week 3 - Sentiment Analysis/7 - 3 - Sentiment Lexicons (8_37).srt
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18 - Week 7 - Information Retrieval/18 - 2 - Term-Document Incidence Matrices (8_59).srt
11 kB
08 - Week 4 - Discriminative classifiers Maximum Entropy classifiers/8 - 3 - Feature-Based Linear Classifiers (13_34).txt
11 kB
13 - Week 5 - Parsing Introduction/13 - 1 - Syntactic Structure_ Constituency vs Dependency (8_46).srt
11 kB
19 - Week 7 - Ranked Information Retrieval/19 - 7 - Calculating TF-IDF Cosine Scores (12_47).txt
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15 - Week 6 - Probabilistic Parsing/15 - 2 - Grammar Transforms (12_05).txt
10 kB
06 - Week 3 - Text Classification/6 - 6 - Multinomial Naive Bayes_ A Worked Example (8_58).srt
10 kB
21 - Week 8 - Question Answering/21 - 1 - What is Question Answering_ (7_28).srt
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20 - Week 8.1 - Semantics/20 - 1 - Word Senses and Word Relations (11_50).txt
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04 - Week 2 - Language Modeling/4 - 3 - Evaluation and Perplexity (11_09).txt
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11 - Week 5 - Advanced Maximum Entropy Models/11 - 1 - The Maximum Entropy Model Presentation (12_14).txt
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06 - Week 3 - Text Classification/6 - 1 - What is Text Classification_ (8_12).srt
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07 - Week 3 - Sentiment Analysis/7 - 5 - Other Sentiment Tasks (11_01).txt
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05 - Week 2 - Spelling Correction/5 - 4 - State of the Art Systems (7_10).srt
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16 - Week 6 - Lexicalized Parsing/16 - 5 - Latent Variable PCFGs (12_07).txt
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10 - Week 4 - Relation Extraction/10 - 4 - Semi-Supervised and Unsupervised Relation Extraction (9_53).txt
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02 - Week 1 - Basic Text Processing/2 - 1 - Regular Expressions (11_25).txt
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08 - Week 4 - Discriminative classifiers Maximum Entropy classifiers/8 - 1 - Generative vs. Discriminative Models (7_49).srt
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08 - Week 4 - Discriminative classifiers Maximum Entropy classifiers/8 - 5 - Generative vs. Discriminative models_ The problem of overcounting evidence (12_15).txt
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02 - Week 1 - Basic Text Processing/2 - 4 - Word Normalization and Stemming (11_47).txt
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08 - Week 4 - Discriminative classifiers Maximum Entropy classifiers/8 - 4 - Building a Maxent Model_ The Nuts and Bolts (8_04).srt
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21 - Week 8 - Question Answering/21 - 3 - Passage Retrieval and Answer Extraction (6_38).srt
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04 - Week 2 - Language Modeling/4 - 6 - Interpolation (10_25).txt
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07 - Week 3 - Sentiment Analysis/7 - 1 - What is Sentiment Analysis_ (7_17).srt
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10 - Week 4 - Relation Extraction/10 - 1 - What is Relation Extraction_ (9_47).txt
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13 - Week 5 - Parsing Introduction/13 - 2 - Empirical_Data-Driven Approach to Parsing (7_11).srt
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23 - Week 8 - Instructor Chat II/23 - 1 - Instructor Chat II (5_23).srt
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17 - Week 6 - Dependency Parsing (Optional)/17 - 3 - Dependencies Encode Relational Structure (7_20).srt
9.1 kB
18 - Week 7 - Information Retrieval/18 - 3 - The Inverted Index (10_42).txt
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10 - Week 4 - Relation Extraction/10 - 2 - Using Patterns to Extract Relations (6_17).srt
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04 - Week 2 - Language Modeling/4 - 8 - Kneser-Ney Smoothing (8_59).txt
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03 - Week 1 - Edit Distance/3 - 1 - Defining Minimum Edit Distance (7_04).srt
8.8 kB
17 - Week 6 - Dependency Parsing (Optional)/17 - 1 - Dependency Parsing Introduction (10_25).txt
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08 - Week 4 - Discriminative classifiers Maximum Entropy classifiers/8 - 6 - Maximizing the Likelihood (10_29).txt
8.6 kB
21 - Week 8 - Question Answering/21 - 2 - Answer Types and Query Formulation (8_47).txt
8.5 kB
06 - Week 3 - Text Classification/6 - 9 - Practical Issues in Text Classification (5_56).srt
8.5 kB
19 - Week 7 - Ranked Information Retrieval/19 - 4 - Inverse Document Frequency Weighting (10_16).txt
8.5 kB
18 - Week 7 - Information Retrieval/18 - 1 - Introduction to Information Retrieval (9_16).txt
8.3 kB
04 - Week 2 - Language Modeling/4 - 1 - Introduction to N-grams (8_41).txt
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16 - Week 6 - Lexicalized Parsing/16 - 1 - Lexicalization of PCFGs (7_03).srt
8.2 kB
15 - Week 6 - Probabilistic Parsing/15 - 5 - Constituency Parser Evaluation (9_45).txt
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05 - Week 2 - Spelling Correction/5 - 3 - Real-Word Spelling Correction (9_19).txt
8.1 kB
04 - Week 2 - Language Modeling/4 - 2 - Estimating N-gram Probabilities (9_38).txt
8.1 kB
06 - Week 3 - Text Classification/6 - 3 - Formalizing the Naive Bayes Classifier (9_28).txt
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04 - Week 2 - Language Modeling/4 - 5 - Smoothing_ Add-One (6_30).srt
8.0 kB
09 - Week 4 - Named entity recognition and Maximum Entropy Sequence Models/9 - 1 - Introduction to Information Extraction (9_18).txt
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16 - Week 6 - Lexicalized Parsing/16 - 3 - PCFG Independence Assumptions (9_44).txt
7.9 kB
06 - Week 3 - Text Classification/6 - 4 - Naive Bayes_ Learning (5_22).srt
7.9 kB
05 - Week 2 - Spelling Correction/5 - 1 - The Spelling Correction Task (5_39).srt
7.8 kB
22 - Week 8 - Summarization/22 - 2 - Generating Snippets.txt
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02 - Week 1 - Basic Text Processing/2 - 2 - Regular Expressions in Practical NLP (6_04).srt
7.7 kB
19 - Week 7 - Ranked Information Retrieval/19 - 8 - Evaluating Search Engines (9_02).txt
7.7 kB
20 - Week 8.1 - Semantics/20 - 2 - WordNet and Other Online Thesauri (6_23).srt
7.7 kB
02 - Week 1 - Basic Text Processing/2 - 5 - Sentence Segmentation (5_31).srt
7.6 kB
03 - Week 1 - Edit Distance/3 - 5 - Minimum Edit Distance in Computational Biology (9_29).txt
7.6 kB
20 - Week 8.1 - Semantics/20 - 5 - Word Similarity_ Distributional Similarity II (8_15).txt
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09 - Week 4 - Named entity recognition and Maximum Entropy Sequence Models/9 - 2 - Evaluation of Named Entity Recognition (6_34).srt
7.6 kB
07 - Week 3 - Sentiment Analysis/7 - 3 - Sentiment Lexicons (8_37).txt
7.5 kB
06 - Week 3 - Text Classification/6 - 8 - Text Classification_ Evaluation (7_17).txt
7.4 kB
19 - Week 7 - Ranked Information Retrieval/19 - 3 - Term Frequency Weighting (5_59).srt
7.4 kB
18 - Week 7 - Information Retrieval/18 - 2 - Term-Document Incidence Matrices (8_59).txt
7.3 kB
18 - Week 7 - Information Retrieval/18 - 4 - Query Processing with the Inverted Index (6_43).srt
7.3 kB
13 - Week 5 - Parsing Introduction/13 - 1 - Syntactic Structure_ Constituency vs Dependency (8_46).txt
7.3 kB
06 - Week 3 - Text Classification/6 - 6 - Multinomial Naive Bayes_ A Worked Example (8_58).txt
7.2 kB
21 - Week 8 - Question Answering/21 - 1 - What is Question Answering_ (7_28).txt
7.1 kB
06 - Week 3 - Text Classification/6 - 1 - What is Text Classification_ (8_12).txt
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04 - Week 2 - Language Modeling/4 - 4 - Generalization and Zeros (5_15).srt
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03 - Week 1 - Edit Distance/3 - 3 - Backtrace for Computing Alignments (5_55).srt
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22 - Week 8 - Summarization/22 - 1 - Introduction to Summarization.srt
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05 - Week 2 - Spelling Correction/5 - 4 - State of the Art Systems (7_10).txt
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21 - Week 8 - Question Answering/21 - 5 - Advanced_ Answering Complex Questions (4_52).srt
6.9 kB
08 - Week 4 - Discriminative classifiers Maximum Entropy classifiers/8 - 1 - Generative vs. Discriminative Models (7_49).txt
6.8 kB
03 - Week 1 - Edit Distance/3 - 2 - Computing Minimum Edit Distance (5_54).srt
6.7 kB
21 - Week 8 - Question Answering/21 - 3 - Passage Retrieval and Answer Extraction (6_38).txt
6.5 kB
08 - Week 4 - Discriminative classifiers Maximum Entropy classifiers/8 - 4 - Building a Maxent Model_ The Nuts and Bolts (8_04).txt
6.5 kB
21 - Week 8 - Question Answering/21 - 4 - Using Knowledge in QA (4_25).srt
6.5 kB
22 - Week 8 - Summarization/22 - 3 - Evaluating Summaries_ ROUGE.srt
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07 - Week 3 - Sentiment Analysis/7 - 1 - What is Sentiment Analysis_ (7_17).txt
6.4 kB
13 - Week 5 - Parsing Introduction/13 - 2 - Empirical_Data-Driven Approach to Parsing (7_11).txt
6.3 kB
10 - Week 4 - Relation Extraction/10 - 2 - Using Patterns to Extract Relations (6_17).txt
6.2 kB
19 - Week 7 - Ranked Information Retrieval/19 - 2 - Scoring with the Jaccard Coefficient (5_06).srt
6.1 kB
03 - Week 1 - Edit Distance/3 - 1 - Defining Minimum Edit Distance (7_04).txt
6.0 kB
19 - Week 7 - Ranked Information Retrieval/19 - 1 - Introducing Ranked Retrieval (4_27).srt
6.0 kB
23 - Week 8 - Instructor Chat II/23 - 1 - Instructor Chat II (5_23).txt
6.0 kB
06 - Week 3 - Text Classification/6 - 5 - Naive Bayes_ Relationship to Language Modeling (4_35).srt
5.9 kB
17 - Week 6 - Dependency Parsing (Optional)/17 - 3 - Dependencies Encode Relational Structure (7_20).txt
5.9 kB
06 - Week 3 - Text Classification/6 - 9 - Practical Issues in Text Classification (5_56).txt
5.9 kB
16 - Week 6 - Lexicalized Parsing/16 - 1 - Lexicalization of PCFGs (7_03).txt
5.6 kB
04 - Week 2 - Language Modeling/4 - 5 - Smoothing_ Add-One (6_30).txt
5.5 kB
05 - Week 2 - Spelling Correction/5 - 1 - The Spelling Correction Task (5_39).txt
5.4 kB
02 - Week 1 - Basic Text Processing/2 - 2 - Regular Expressions in Practical NLP (6_04).txt
5.3 kB
02 - Week 1 - Basic Text Processing/2 - 5 - Sentence Segmentation (5_31).txt
5.2 kB
20 - Week 8.1 - Semantics/20 - 2 - WordNet and Other Online Thesauri (6_23).txt
5.2 kB
09 - Week 4 - Named entity recognition and Maximum Entropy Sequence Models/9 - 2 - Evaluation of Named Entity Recognition (6_34).txt
5.2 kB
19 - Week 7 - Ranked Information Retrieval/19 - 3 - Term Frequency Weighting (5_59).txt
5.1 kB
18 - Week 7 - Information Retrieval/18 - 4 - Query Processing with the Inverted Index (6_43).txt
5.0 kB
11 - Week 5 - Advanced Maximum Entropy Models/11 - 3 - Conditional Maxent Models for Classification (4_11).srt
5.0 kB
04 - Week 2 - Language Modeling/4 - 4 - Generalization and Zeros (5_15).txt
4.9 kB
03 - Week 1 - Edit Distance/3 - 3 - Backtrace for Computing Alignments (5_55).txt
4.8 kB
06 - Week 3 - Text Classification/6 - 4 - Naive Bayes_ Learning (5_22).txt
4.8 kB
22 - Week 8 - Summarization/22 - 1 - Introduction to Summarization.txt
4.8 kB
21 - Week 8 - Question Answering/21 - 5 - Advanced_ Answering Complex Questions (4_52).txt
4.7 kB
03 - Week 1 - Edit Distance/3 - 2 - Computing Minimum Edit Distance (5_54).txt
4.6 kB
06 - Week 3 - Text Classification/6 - 2 - Naive Bayes (3_19).srt
4.5 kB
21 - Week 8 - Question Answering/21 - 4 - Using Knowledge in QA (4_25).txt
4.4 kB
22 - Week 8 - Summarization/22 - 3 - Evaluating Summaries_ ROUGE.txt
4.4 kB
19 - Week 7 - Ranked Information Retrieval/19 - 2 - Scoring with the Jaccard Coefficient (5_06).txt
4.2 kB
19 - Week 7 - Ranked Information Retrieval/19 - 5 - TF-IDF Weighting (3_42).srt
4.1 kB
19 - Week 7 - Ranked Information Retrieval/19 - 1 - Introducing Ranked Retrieval (4_27).txt
4.1 kB
06 - Week 3 - Text Classification/6 - 5 - Naive Bayes_ Relationship to Language Modeling (4_35).txt
4.1 kB
03 - Week 1 - Edit Distance/3 - 4 - Weighted Minimum Edit Distance (2_47).srt
3.8 kB
11 - Week 5 - Advanced Maximum Entropy Models/11 - 3 - Conditional Maxent Models for Classification (4_11).txt
3.4 kB
06 - Week 3 - Text Classification/6 - 2 - Naive Bayes (3_19).txt
3.1 kB
19 - Week 7 - Ranked Information Retrieval/19 - 5 - TF-IDF Weighting (3_42).txt
2.8 kB
03 - Week 1 - Edit Distance/3 - 4 - Weighted Minimum Edit Distance (2_47).txt
2.6 kB