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[Coursera] Natural Language Processing (Stanford University) (nlp)

by: Stanford University

Publisher: Academic Torrents

Contributor: Academic Torrents

Academictorrents_collection: video-lectures

Addeddate: 2018-08-12 13:31:58

External-identifier: urn:academictorrents:d2c8f8f1651740520b7dfab23438d89bc8c0c0ab

Identifier: academictorrents_d2c8f8f1651740520b7dfab23438d89bc8c0c0ab

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Ppi: 600

Scanner: Internet Archive Python library 1.8.1

Source: http://academictorrents.com/details/d2c8f8f1651740520b7dfab23438d89bc8c0c0ab
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01_Regular_Expressions_11-25.mp4

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02_Scoring_with_the_Jaccard_Coefficient_5-06.mp4

6.4M

03_Term_Frequency_Weighting_5-59.mp4

11.1M

04_Inverse_Document_Frequency_Weighting_10-16.mp4

4.1M

05_TF-IDF_Weighting_3-42.mp4

16.9M

06_The_Vector_Space_Model_16-22.mp4

13.2M

07_Calculating_TF-IDF_Cosine_Scores_12-47.mp4

8.8M

08_Evaluating_Search_Engines_9-02.mp4

14.9M

01_Word_Senses_and_Word_Relations_11-50.mp4

8.7M

02_WordNet_and_Other_Online_Thesauri_6-23.mp4

20.2M

15.0M

9.5M

8.9M

01_What_is_Question_Answering_7-28.mp4

10.1M

02_Answer_Types_and_Query_Formulation_8-47.mp4

7.7M

03_Passage_Retrieval_and_Answer_Extraction_6-38.mp4

5.3M

04_Using_Knowledge_in_QA_4-25.mp4

6.2M

05_Advanced-_Answering_Complex_Questions_4-52.mp4

6.0M

01_Introduction_to_Summarization.mp4

9.6M

02_Generating_Snippets.mp4

6.5M

03_Evaluating_Summaries-_ROUGE.mp4

13.4M

04_Summarizing_Multiple_Documents.mp4

18.6M

01_Instructor_Chat_II_5-23.mp4

102 files

OGG VIDEO

BACK

55.0M

01_Course_Introduction_14-11.ogv

48.3M

01_Regular_Expressions_11-25.ogv

26.2M

02_Regular_Expressions_in_Practical_NLP_6-04.ogv

58.3M

03_Word_Tokenization_14-26.ogv

49.9M

04_Word_Normalization_and_Stemming_11-47.ogv

22.7M

05_Sentence_Segmentation_5-31.ogv

28.8M

01_Defining_Minimum_Edit_Distance_7-04.ogv

25.1M

02_Computing_Minimum_Edit_Distance_5-54.ogv

25.8M

03_Backtrace_for_Computing_Alignments_5-55.ogv

11.8M

04_Weighted_Minimum_Edit_Distance_2-47.ogv

40.7M

05_Minimum_Edit_Distance_in_Computational_Biology_9-29.ogv

36.7M

01_Introduction_to_N-grams_8-41.ogv

41.3M

02_Estimating_N-gram_Probabilities_9-38.ogv

47.2M

03_Evaluation_and_Perplexity_11-09.ogv

21.7M

04_Generalization_and_Zeros_5-15.ogv

27.9M

05_Smoothing-_Add-One_6-30.ogv

44.4M

06_Interpolation_10-25.ogv

65.4M

07_Good-Turing_Smoothing_15-35.ogv

38.2M

08_Kneser-Ney_Smoothing_8-59.ogv

23.2M

01_The_Spelling_Correction_Task_5-39.ogv

83.6M

02_The_Noisy_Channel_Model_of_Spelling_19-30.ogv

39.8M

03_Real-Word_Spelling_Correction_9-19.ogv

30.5M

04_State_of_the_Art_Systems_7-10.ogv

35.1M

01_What_is_Text_Classification_8-12.ogv

14.2M

02_Naive_Bayes_3-19.ogv

39.0M

03_Formalizing_the_Naive_Bayes_Classifier_9-28.ogv

23.0M

04_Naive_Bayes-_Learning_5-22.ogv

19.6M

05_Naive_Bayes-_Relationship_to_Language_Modeling_4-35.ogv

37.4M

06_Multinomial_Naive_Bayes-_A_Worked_Example_8-58.ogv

69.5M

07_Precision_Recall_and_the_F_measure_16-16.ogv

31.4M

08_Text_Classification-_Evaluation_7-17.ogv

24.9M

09_Practical_Issues_in_Text_Classification_5-56.ogv

30.8M

01_What_is_Sentiment_Analysis_7-17.ogv

57.1M

02_Sentiment_Analysis-_A_baseline_algorithm_13-27.ogv

36.9M

03_Sentiment_Lexicons_8-37.ogv

62.1M

04_Learning_Sentiment_Lexicons_14-45.ogv

46.9M

05_Other_Sentiment_Tasks_11-01.ogv

33.8M

01_Generative_vs._Discriminative_Models_7-49.ogv

76.4M

02_Making_features_from_text_for_discriminative_NLP_models_18-11.ogv

58.8M

03_Feature-Based_Linear_Classifiers_13-34.ogv

35.0M

04_Building_a_Maxent_Model-_The_Nuts_and_Bolts_8-04.ogv

52.7M

05_Generative_vs._Discriminative_models-_The_problem_of_overcounting_evidence_12-15.ogv

44.9M

06_Maximizing_the_Likelihood_10-29.ogv

40.1M

01_Introduction_to_Information_Extraction_9-18.ogv

28.4M

02_Evaluation_of_Named_Entity_Recognition_6-34.ogv

64.8M

03_Sequence_Models_for_Named_Entity_Recognition_15-05.ogv

56.5M

04_Maximum_Entropy_Sequence_Models_13-01.ogv

41.9M

01_What_is_Relation_Extraction_9-47.ogv

26.6M

02_Using_Patterns_to_Extract_Relations_6-17.ogv

46.5M

03_Supervised_Relation_Extraction_10-51.ogv

42.4M

04_Semi-Supervised_and_Unsupervised_Relation_Extraction_9-53.ogv

53.0M

01_The_Maximum_Entropy_Model_Presentation_12-14.ogv

55.6M

02_Feature_Overlap-Feature_Interaction_12-51.ogv

18.1M

03_Conditional_Maxent_Models_for_Classification_4-11.ogv

127.4M

04_Smoothing-Regularization-Priors_for_Maxent_Models_29-24.ogv

57.5M

01_An_Intro_to_Parts_of_Speech_and_POS_Tagging_13-19.ogv

56.4M

02_Some_Methods_and_Results_on_Sequence_Models_for_POS_Tagging_13-04.ogv

37.5M

01_Syntactic_Structure-_Constituency_vs_Dependency_8-46.ogv

30.7M

02_Empirical-Data-Driven_Approach_to_Parsing_7-11.ogv

62.1M

03_The_Exponential_Problem_in_Parsing_14-30.ogv

35.7M

01_Instructor_Chat_9-02.ogv

66.6M

01_CFGs_and_PCFGs_15-29.ogv

51.6M

02_Grammar_Transforms_12-05.ogv

99.7M

03_CKY_Parsing_23-25.ogv

91.6M

04_CKY_Example_21-52.ogv

41.4M

05_Constituency_Parser_Evaluation_9-45.ogv

30.2M

01_Lexicalization_of_PCFGs_7-03.ogv

78.7M

02_Charniaks_Model_18-23.ogv

41.8M

03_PCFG_Independence_Assumptions_9-44.ogv

89.5M

04_The_Return_of_Unlexicalized_PCFGs_20-53.ogv

52.0M

05_Latent_Variable_PCFGs_12-07.ogv

44.9M

01_Dependency_Parsing_Introduction_10-25.ogv

132.5M

02_Greedy_Transition-Based_Parsing_31-05.ogv

31.4M

03_Dependencies_Encode_Relational_Structure_7-20.ogv

39.9M

01_Introduction_to_Information_Retrieval_9-16.ogv

39.4M

02_Term-Document_Incidence_Matrices_8-59.ogv

46.5M

03_The_Inverted_Index_10-42.ogv

28.8M

04_Query_Processing_with_the_Inverted_Index_6-43.ogv

84.4M

05_Phrase_Queries_and_Positional_Indexes_19-45.ogv

19.0M

01_Introducing_Ranked_Retrieval_4-27.ogv

22.0M

02_Scoring_with_the_Jaccard_Coefficient_5-06.ogv

25.8M

03_Term_Frequency_Weighting_5-59.ogv

44.1M

04_Inverse_Document_Frequency_Weighting_10-16.ogv

15.8M

05_TF-IDF_Weighting_3-42.ogv

70.4M

06_The_Vector_Space_Model_16-22.ogv

55.1M

07_Calculating_TF-IDF_Cosine_Scores_12-47.ogv

38.7M

08_Evaluating_Search_Engines_9-02.ogv

50.6M

01_Word_Senses_and_Word_Relations_11-50.ogv

27.3M

02_WordNet_and_Other_Online_Thesauri_6-23.ogv

69.8M

56.7M

35.4M

31.9M

01_What_is_Question_Answering_7-28.ogv

37.7M

02_Answer_Types_and_Query_Formulation_8-47.ogv

28.5M

03_Passage_Retrieval_and_Answer_Extraction_6-38.ogv

18.9M

04_Using_Knowledge_in_QA_4-25.ogv

20.9M

05_Advanced-_Answering_Complex_Questions_4-52.ogv

20.3M

01_Introduction_to_Summarization.ogv

32.2M

02_Generating_Snippets.ogv

21.4M

03_Evaluating_Summaries-_ROUGE.ogv

45.6M

04_Summarizing_Multiple_Documents.ogv

23.2M

01_Instructor_Chat_II_5-23.ogv

99 files

PDF

BACK

2.6M

01_Course_Introduction_14-11.pdf

652.4K

01_Regular_Expressions_11-25.pdf

671.4K

03_Word_Tokenization_14-26.pdf

616.8K

04_Word_Normalization_and_Stemming_11-47.pdf

610.8K

05_Sentence_Segmentation_5-31.pdf

646.8K

01_Defining_Minimum_Edit_Distance_7-04.pdf

610.5K

02_Computing_Minimum_Edit_Distance_5-54.pdf

711.6K

03_Backtrace_for_Computing_Alignments_5-55.pdf

916.2K

04_Weighted_Minimum_Edit_Distance_2-47.pdf

673.0K

05_Minimum_Edit_Distance_in_Computational_Biology_9-29.pdf

748.6K

01_Introduction_to_N-grams_8-41.pdf

810.5K

02_Estimating_N-gram_Probabilities_9-38.pdf

619.5K

03_Evaluation_and_Perplexity_11-09.pdf

830.5K

04_Generalization_and_Zeros_5-15.pdf

840.6K

05_Smoothing-_Add-One_6-30.pdf

739.5K

06_Interpolation_10-25.pdf

775.8K

07_Good-Turing_Smoothing_15-35.pdf

817.2K

08_Kneser-Ney_Smoothing_8-59.pdf

753.8K

01_The_Spelling_Correction_Task_5-39.pdf

1.1M

02_The_Noisy_Channel_Model_of_Spelling_19-30.pdf

785.5K

03_Real-Word_Spelling_Correction_9-19.pdf

576.1K

04_State_of_the_Art_Systems_7-10.pdf

781.6K

01_What_is_Text_Classification_8-12.pdf

663.5K

02_Naive_Bayes_3-19.pdf

1.0M

03_Formalizing_the_Naive_Bayes_Classifier_9-28.pdf

814.7K

04_Naive_Bayes-_Learning_5-22.pdf

628.2K

05_Naive_Bayes-_Relationship_to_Language_Modeling_4-35.pdf

632.9K

06_Multinomial_Naive_Bayes-_A_Worked_Example_8-58.pdf

623.3K

07_Precision_Recall_and_the_F_measure_16-16.pdf

691.7K

08_Text_Classification-_Evaluation_7-17.pdf

673.9K

09_Practical_Issues_in_Text_Classification_5-56.pdf

1.2M

01_What_is_Sentiment_Analysis_7-17.pdf

764.7K

02_Sentiment_Analysis-_A_baseline_algorithm_13-27.pdf

756.4K

03_Sentiment_Lexicons_8-37.pdf

825.7K

04_Learning_Sentiment_Lexicons_14-45.pdf

652.3K

05_Other_Sentiment_Tasks_11-01.pdf

621.0K

01_Generative_vs._Discriminative_Models_7-49.pdf

730.7K

02_Making_features_from_text_for_discriminative_NLP_models_18-11.pdf

786.0K

03_Feature-Based_Linear_Classifiers_13-34.pdf

636.3K

04_Building_a_Maxent_Model-_The_Nuts_and_Bolts_8-04.pdf

592.5K

05_Generative_vs._Discriminative_models-_The_problem_of_overcounting_evidence_12-15.pdf

1.5M

06_Maximizing_the_Likelihood_10-29.pdf

663.3K

01_Introduction_to_Information_Extraction_9-18.pdf

570.0K

02_Evaluation_of_Named_Entity_Recognition_6-34.pdf

738.8K

03_Sequence_Models_for_Named_Entity_Recognition_15-05.pdf

717.8K

04_Maximum_Entropy_Sequence_Models_13-01.pdf

1.1M

01_What_is_Relation_Extraction_9-47.pdf

3.0M

02_Using_Patterns_to_Extract_Relations_6-17.pdf

3.9M

03_Supervised_Relation_Extraction_10-51.pdf

3.3M

04_Semi-Supervised_and_Unsupervised_Relation_Extraction_9-53.pdf

1.1M

01_The_Maximum_Entropy_Model_Presentation_12-14.pdf

612.6K

02_Feature_Overlap-Feature_Interaction_12-51.pdf

742.3K

03_Conditional_Maxent_Models_for_Classification_4-11.pdf

1.2M

04_Smoothing-Regularization-Priors_for_Maxent_Models_29-24.pdf

650.3K

01_An_Intro_to_Parts_of_Speech_and_POS_Tagging_13-19.pdf

652.7K

02_Some_Methods_and_Results_on_Sequence_Models_for_POS_Tagging_13-04.pdf

730.9K

01_Syntactic_Structure-_Constituency_vs_Dependency_8-46.pdf

607.9K

02_Empirical-Data-Driven_Approach_to_Parsing_7-11.pdf

726.2K

03_The_Exponential_Problem_in_Parsing_14-30.pdf

803.2K

01_CFGs_and_PCFGs_15-29.pdf

724.8K

02_Grammar_Transforms_12-05.pdf

652.5K

03_CKY_Parsing_23-25.pdf

626.8K

04_CKY_Example_21-52.pdf

686.4K

05_Constituency_Parser_Evaluation_9-45.pdf

652.4K

01_Lexicalization_of_PCFGs_7-03.pdf

829.0K

02_Charniaks_Model_18-23.pdf

675.1K

03_PCFG_Independence_Assumptions_9-44.pdf

854.9K

04_The_Return_of_Unlexicalized_PCFGs_20-53.pdf

867.0K

05_Latent_Variable_PCFGs_12-07.pdf

669.8K

01_Dependency_Parsing_Introduction_10-25.pdf

687.5K

02_Greedy_Transition-Based_Parsing_31-05.pdf

727.9K

03_Dependencies_Encode_Relational_Structure_7-20.pdf

212.5K

01_Introduction_to_Information_Retrieval_9-16.pdf

761.0K

02_Term-Document_Incidence_Matrices_8-59.pdf

290.7K

03_The_Inverted_Index_10-42.pdf

177.6K

04_Query_Processing_with_the_Inverted_Index_6-43.pdf

139.5K

05_Phrase_Queries_and_Positional_Indexes_19-45.pdf

75.8K

01_Introducing_Ranked_Retrieval_4-27.pdf

82.3K

02_Scoring_with_the_Jaccard_Coefficient_5-06.pdf

185.0K

03_Term_Frequency_Weighting_5-59.pdf

138.0K

04_Inverse_Document_Frequency_Weighting_10-16.pdf

132.9K

05_TF-IDF_Weighting_3-42.pdf

252.5K

06_The_Vector_Space_Model_16-22.pdf

159.9K

07_Calculating_TF-IDF_Cosine_Scores_12-47.pdf

90.2K

08_Evaluating_Search_Engines_9-02.pdf

630.1K

01_Word_Senses_and_Word_Relations_11-50.pdf

1.2M

02_WordNet_and_Other_Online_Thesauri_6-23.pdf

888.0K

1.2M

770.6K

956.9K

01_What_is_Question_Answering_7-28.pdf

962.1K

02_Answer_Types_and_Query_Formulation_8-47.pdf

722.6K

03_Passage_Retrieval_and_Answer_Extraction_6-38.pdf

666.2K

04_Using_Knowledge_in_QA_4-25.pdf

710.4K

05_Advanced-_Answering_Complex_Questions_4-52.pdf

748.7K

01_Introduction_to_Summarization.pdf

894.8K

02_Generating_Snippets.pdf

606.0K

03_Evaluating_Summaries-_ROUGE.pdf

953.2K

04_Summarizing_Multiple_Documents.pdf

99 files

POWERPOINT

BACK

2.0M

01_Course_Introduction_14-11.pptx

697.7K

01_Regular_Expressions_11-25.pptx

670.3K

03_Word_Tokenization_14-26.pptx

657.8K

04_Word_Normalization_and_Stemming_11-47.pptx

668.9K

05_Sentence_Segmentation_5-31.pptx

699.4K

01_Defining_Minimum_Edit_Distance_7-04.pptx

693.6K

02_Computing_Minimum_Edit_Distance_5-54.pptx

769.4K

03_Backtrace_for_Computing_Alignments_5-55.pptx

922.7K

04_Weighted_Minimum_Edit_Distance_2-47.pptx

698.1K

05_Minimum_Edit_Distance_in_Computational_Biology_9-29.pptx

851.5K

01_Introduction_to_N-grams_8-41.pptx

942.5K

02_Estimating_N-gram_Probabilities_9-38.pptx

674.1K

03_Evaluation_and_Perplexity_11-09.pptx

850.5K

04_Generalization_and_Zeros_5-15.pptx

900.0K

05_Smoothing-_Add-One_6-30.pptx

868.8K

06_Interpolation_10-25.pptx

973.1K

07_Good-Turing_Smoothing_15-35.pptx

1.1M

08_Kneser-Ney_Smoothing_8-59.pptx

918.4K

01_The_Spelling_Correction_Task_5-39.pptx

1,020.6K

02_The_Noisy_Channel_Model_of_Spelling_19-30.pptx

818.0K

03_Real-Word_Spelling_Correction_9-19.pptx

837.7K

04_State_of_the_Art_Systems_7-10.pptx

896.0K

01_What_is_Text_Classification_8-12.pptx

654.0K

02_Naive_Bayes_3-19.pptx

1.1M

03_Formalizing_the_Naive_Bayes_Classifier_9-28.pptx

1.1M

04_Naive_Bayes-_Learning_5-22.pptx

641.6K

05_Naive_Bayes-_Relationship_to_Language_Modeling_4-35.pptx

707.0K

06_Multinomial_Naive_Bayes-_A_Worked_Example_8-58.pptx

662.9K

07_Precision_Recall_and_the_F_measure_16-16.pptx

703.2K

08_Text_Classification-_Evaluation_7-17.pptx

748.5K

09_Practical_Issues_in_Text_Classification_5-56.pptx

1.6M

01_What_is_Sentiment_Analysis_7-17.pptx

859.7K

02_Sentiment_Analysis-_A_baseline_algorithm_13-27.pptx

779.6K

03_Sentiment_Lexicons_8-37.pptx

1.2M

04_Learning_Sentiment_Lexicons_14-45.pptx

647.9K

05_Other_Sentiment_Tasks_11-01.pptx

608.6K

01_Generative_vs._Discriminative_Models_7-49.pptx

679.3K

02_Making_features_from_text_for_discriminative_NLP_models_18-11.pptx

755.1K

03_Feature-Based_Linear_Classifiers_13-34.pptx

596.2K

04_Building_a_Maxent_Model-_The_Nuts_and_Bolts_8-04.pptx

618.5K

05_Generative_vs._Discriminative_models-_The_problem_of_overcounting_evidence_12-15.pptx

1.5M

06_Maximizing_the_Likelihood_10-29.pptx

729.4K

01_Introduction_to_Information_Extraction_9-18.pptx

597.9K

02_Evaluation_of_Named_Entity_Recognition_6-34.pptx

710.0K

03_Sequence_Models_for_Named_Entity_Recognition_15-05.pptx

705.9K

04_Maximum_Entropy_Sequence_Models_13-01.pptx

1.3M

01_What_is_Relation_Extraction_9-47.pptx

745.8K

02_Using_Patterns_to_Extract_Relations_6-17.pptx

891.8K

03_Supervised_Relation_Extraction_10-51.pptx

700.1K

04_Semi-Supervised_and_Unsupervised_Relation_Extraction_9-53.pptx

1.1M

01_The_Maximum_Entropy_Model_Presentation_12-14.pptx

643.8K

02_Feature_Overlap-Feature_Interaction_12-51.pptx

751.6K

03_Conditional_Maxent_Models_for_Classification_4-11.pptx

1.2M

04_Smoothing-Regularization-Priors_for_Maxent_Models_29-24.pptx

619.3K

01_An_Intro_to_Parts_of_Speech_and_POS_Tagging_13-19.pptx

610.5K

02_Some_Methods_and_Results_on_Sequence_Models_for_POS_Tagging_13-04.pptx

694.7K

01_Syntactic_Structure-_Constituency_vs_Dependency_8-46.pptx

644.6K

02_Empirical-Data-Driven_Approach_to_Parsing_7-11.pptx

775.8K

03_The_Exponential_Problem_in_Parsing_14-30.pptx

894.2K

01_CFGs_and_PCFGs_15-29.pptx

733.8K

02_Grammar_Transforms_12-05.pptx

632.1K

03_CKY_Parsing_23-25.pptx

677.6K

04_CKY_Example_21-52.pptx

725.5K

05_Constituency_Parser_Evaluation_9-45.pptx

830.9K

01_Lexicalization_of_PCFGs_7-03.pptx

1,005.3K

02_Charniaks_Model_18-23.pptx

903.9K

03_PCFG_Independence_Assumptions_9-44.pptx

1.3M

04_The_Return_of_Unlexicalized_PCFGs_20-53.pptx

869.2K

05_Latent_Variable_PCFGs_12-07.pptx

793.9K

01_Dependency_Parsing_Introduction_10-25.pptx

766.1K

02_Greedy_Transition-Based_Parsing_31-05.pptx

814.8K

03_Dependencies_Encode_Relational_Structure_7-20.pptx

135.3K

01_Introduction_to_Information_Retrieval_9-16.pptx

690.3K

02_Term-Document_Incidence_Matrices_8-59.pptx

399.2K

03_The_Inverted_Index_10-42.pptx

159.8K

04_Query_Processing_with_the_Inverted_Index_6-43.pptx

87.5K

05_Phrase_Queries_and_Positional_Indexes_19-45.pptx

76.9K

01_Introducing_Ranked_Retrieval_4-27.pptx

67.0K

02_Scoring_with_the_Jaccard_Coefficient_5-06.pptx

93.8K

03_Term_Frequency_Weighting_5-59.pptx

90.8K

04_Inverse_Document_Frequency_Weighting_10-16.pptx

100.5K

05_TF-IDF_Weighting_3-42.pptx

200.4K

06_The_Vector_Space_Model_16-22.pptx

140.6K

07_Calculating_TF-IDF_Cosine_Scores_12-47.pptx

63.0K

08_Evaluating_Search_Engines_9-02.pptx

665.4K

01_Word_Senses_and_Word_Relations_11-50.pptx

1.5M

02_WordNet_and_Other_Online_Thesauri_6-23.pptx

1.1M

2.2M

1.0M

1.1M

01_What_is_Question_Answering_7-28.pptx

1.0M

02_Answer_Types_and_Query_Formulation_8-47.pptx

821.7K

03_Passage_Retrieval_and_Answer_Extraction_6-38.pptx

764.9K

04_Using_Knowledge_in_QA_4-25.pptx

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05_Advanced-_Answering_Complex_Questions_4-52.pptx

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01_Instructor_Chat_II_5-23.txt

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