589689.xyz

Natural Language Processing

  • 收录时间:2018-02-27 21:22:22
  • 文件大小:1GB
  • 下载次数:331
  • 最近下载:2021-01-23 10:06:28
  • 磁力链接:
立即下载 复制链接

文件列表

  1. 17 - 2 - Greedy Transition-Based Parsing (31_05).mp4 31MB
  2. 11 - 4 - Smoothing_Regularization_Priors for Maxent Models (29_24).mp4 29MB
  3. 15 - 3 - CKY Parsing (23_25).mp4 26MB
  4. 14 - 1 - Instructor Chat (9_02).mp4 24MB
  5. 15 - 4 - CKY Example (21_52).mp4 23MB
  6. 16 - 4 - The Return of Unlexicalized PCFGs (20_53).mp4 21MB
  7. 18 - 5 - Phrase Queries and Positional Indexes (19_45).mp4 21MB
  8. 20 - 3 - Word Similarity and Thesaurus Methods (16_17).mp4 20MB
  9. 16 - 2 - Charniak_'s Model (18_23).mp4 19MB
  10. 7 - 4 - Learning Sentiment Lexicons (14_45).mp4 19MB
  11. 23 - 1 - Instructor Chat II (5_23).mp4 19MB
  12. 5 - 2 - The Noisy Channel Model of Spelling (19_30).mp4 18MB
  13. 11 - 1 - The Maximum Entropy Model Presentation (12_14).mp4 17MB
  14. 19 - 6 - The Vector Space Model (16_22).mp4 17MB
  15. 8 - 2 - Making features from text for discriminative NLP models (18_11).mp4 17MB
  16. 15 - 1 - CFGs and PCFGs (15_29).mp4 17MB
  17. 6 - 7 - Precision, Recall, and the F measure (16_16).mp4 16MB
  18. 20 - 4 - Word Similarity_ Distributional Similarity I (13_14).mp4 15MB
  19. 20 - 1 - Word Senses and Word Relations (11_50).mp4 15MB
  20. 13 - 3 - The Exponential Problem in Parsing (14_30).mp4 15MB
  21. 7 - 5 - Other Sentiment Tasks (11_01).mp4 15MB
  22. 9 - 3 - Sequence Models for Named Entity Recognition (15_05).mp4 14MB
  23. 8 - 3 - Feature-Based Linear Classifiers (13_34).mp4 13MB
  24. 4 - 7 - Good-Turing Smoothing (15_35).mp4 13MB
  25. 22 - 4 - Summarizing Multiple Documents.mp4 13MB
  26. 9 - 4 - Maximum Entropy Sequence Models (13_01).mp4 13MB
  27. 19 - 7 - Calculating TF-IDF Cosine Scores (12_47).mp4 13MB
  28. 7 - 2 - Sentiment Analysis_ A baseline algorithm (13_27).mp4 13MB
  29. 12 - 2 - Some Methods and Results on Sequence Models for POS Tagging (13_04).mp4 13MB
  30. 11 - 2 - Feature Overlap_Feature Interaction (12_51).mp4 13MB
  31. 16 - 5 - Latent Variable PCFGs (12_07).mp4 13MB
  32. 2 - 3 - Word Tokenization (14_26).mp4 12MB
  33. 1 - 1 - Course Introduction (14_11).mp4 12MB
  34. 8 - 5 - Generative vs. Discriminative models_ The problem of overcounting evidence (12_15).mp4 12MB
  35. 15 - 2 - Grammar Transforms (12_05).mp4 12MB
  36. 12 - 1 - An Intro to Parts of Speech and POS Tagging (13_19).mp4 12MB
  37. 6 - 8 - Text Classification_ Evaluation (7_17).mp4 12MB
  38. 6 - 6 - Multinomial Naive Bayes_ A Worked Example (8_58).mp4 11MB
  39. 17 - 1 - Dependency Parsing Introduction (10_25).mp4 11MB
  40. 19 - 4 - Inverse Document Frequency Weighting (10_16).mp4 11MB
  41. 2 - 1 - Regular Expressions (11_25).mp4 11MB
  42. 18 - 3 - The Inverted Index (10_42).mp4 11MB
  43. 15 - 5 - Constituency Parser Evaluation (9_45).mp4 11MB
  44. 7 - 3 - Sentiment Lexicons (8_37).mp4 11MB
  45. 10 - 3 - Supervised Relation Extraction (10_51).mp4 10MB
  46. 10 - 1 - What is Relation Extraction_ (9_47).mp4 10MB
  47. 21 - 2 - Answer Types and Query Formulation (8_47).mp4 10MB
  48. 2 - 4 - Word Normalization and Stemming (11_47).mp4 10MB
  49. 10 - 4 - Semi-Supervised and Unsupervised Relation Extraction (9_53).mp4 10MB
  50. 16 - 3 - PCFG Independence Assumptions (9_44).mp4 10MB
  51. 8 - 6 - Maximizing the Likelihood (10_29).mp4 10MB
  52. 22 - 2 - Generating Snippets.mp4 10MB
  53. 4 - 3 - Evaluation and Perplexity (11_09).mp4 10MB
  54. 7 - 1 - What is Sentiment Analysis_ (7_17).mp4 10MB
  55. 4 - 2 - Estimating N-gram Probabilities (9_38).mp4 9MB
  56. 20 - 5 - Word Similarity_ Distributional Similarity II (8_15).mp4 9MB
  57. 9 - 1 - Introduction to Information Extraction (9_18).mp4 9MB
  58. 4 - 6 - Interpolation (10_25).mp4 9MB
  59. 18 - 1 - Introduction to Information Retrieval (9_16).mp4 9MB
  60. 18 - 2 - Term-Document Incidence Matrices (8_59).mp4 9MB
  61. 13 - 1 - Syntactic Structure_ Constituency vs Dependency (8_46).mp4 9MB
  62. 3 - 5 - Minimum Edit Distance in Computational Biology (9_29).mp4 9MB
  63. 21 - 1 - What is Question Answering_ (7_28).mp4 9MB
  64. 19 - 8 - Evaluating Search Engines (9_02).mp4 9MB
  65. 20 - 2 - WordNet and Other Online Thesauri (6_23).mp4 9MB
  66. 5 - 3 - Real-Word Spelling Correction (9_19).mp4 9MB
  67. 4 - 8 - Kneser-Ney Smoothing (8_59).mp4 8MB
  68. 6 - 3 - Formalizing the Naive Bayes Classifier (9_28).mp4 8MB
  69. 2 - 2 - Regular Expressions in Practical NLP (6_04).mp4 8MB
  70. 8 - 1 - Generative vs. Discriminative Models (7_49).mp4 8MB
  71. 8 - 4 - Building a Maxent Model_ The Nuts and Bolts (8_04).mp4 8MB
  72. 6 - 1 - What is Text Classification_ (8_12).mp4 8MB
  73. 21 - 3 - Passage Retrieval and Answer Extraction (6_38).mp4 8MB
  74. 4 - 1 - Introduction to N-grams (8_41).mp4 8MB
  75. 13 - 2 - Empirical_Data-Driven Approach to Parsing (7_11).mp4 7MB
  76. 17 - 3 - Dependencies Encode Relational Structure (7_20).mp4 7MB
  77. 16 - 1 - Lexicalization of PCFGs (7_03).mp4 7MB
  78. 9 - 2 - Evaluation of Named Entity Recognition (6_34).mp4 7MB
  79. 18 - 4 - Query Processing with the Inverted Index (6_43).mp4 7MB
  80. 5 - 4 - State of the Art Systems (7_10).mp4 7MB
  81. 3 - 1 - Defining Minimum Edit Distance (7_04).mp4 7MB
  82. 6 - 9 - Practical Issues in Text Classification (5_56).mp4 7MB
  83. 22 - 3 - Evaluating Summaries_ ROUGE.mp4 7MB
  84. 19 - 3 - Term Frequency Weighting (5_59).mp4 6MB
  85. 6 - 4 - Naive Bayes_ Learning (5_22).mp4 6MB
  86. 21 - 5 - Advanced_ Answering Complex Questions (4_52).mp4 6MB
  87. 10 - 2 - Using Patterns to Extract Relations (6_17).mp4 6MB
  88. 4 - 5 - Smoothing_ Add-One (6_30).mp4 6MB
  89. 22 - 1 - Introduction to Summarization.mp4 6MB
  90. 3 - 3 - Backtrace for Computing Alignments (5_55).mp4 6MB
  91. 19 - 2 - Scoring with the Jaccard Coefficient (5_06).mp4 5MB
  92. 3 - 2 - Computing Minimum Edit Distance (5_54).mp4 5MB
  93. 21 - 4 - Using Knowledge in QA (4_25).mp4 5MB
  94. 2 - 5 - Sentence Segmentation (5_31).mp4 5MB
  95. 5 - 1 - The Spelling Correction Task (5_39).mp4 5MB
  96. 11 - 3 - Conditional Maxent Models for Classification (4_11).mp4 5MB
  97. 4 - 4 - Generalization and Zeros (5_15).mp4 5MB
  98. 19 - 1 - Introducing Ranked Retrieval (4_27).mp4 5MB
  99. 19 - 5 - TF-IDF Weighting (3_42).mp4 4MB
  100. 6 - 5 - Naive Bayes_ Relationship to Language Modeling (4_35).mp4 4MB
  101. 6 - 2 - Naive Bayes (3_19).mp4 3MB
  102. 3 - 4 - Weighted Minimum Edit Distance (2_47).mp4 3MB