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Natural Language Processing UWR 2020

About

Assigments and syllabus from Natural Language Processing @ University of Wrocław 2020 Class

Notebooks issue

Sometimes jupyter notebooks doesn't render. Use this in case https://nbviewer.jupyter.org.

Syllabus

  1. Introduction to NLP
  2. MaxMatch&ReverseMaxMatch
  3. Byte Pair Encoding
  4. WordPiece
  5. N-Gram Models
  6. N-Gram Text Generation
  7. Smoothing for N-Gram Models
  8. Class based N-Grams
  9. Laplace Smoothing
  10. Deleted Interpolation
  11. Absolute Discounting
  12. Kneser-Ney Smoothing
  13. Katz back-of
  14. ARPA
  15. PERPLEXITY
  16. N-Gram Text Reconstruction
  17. N-Gram Classification
  18. Collocations
  19. Grammar in NLP (linguistics point of view)
  20. Stemming and lemmatization
  21. Vector Immersion
  22. Word2Vec
  23. Glove
  24. HMMs in NLP
  25. Viterbi Algorithm
  26. EM for HMM
  27. POS Tagging
  28. DAN
  29. RNN
  30. Context-free grammars in NLP
  31. TreeBanks
  32. Parsing
  33. CYK
  34. Recursive Descent Parser
  35. Shift-Reduce
  36. Earley parser
  37. Chart parser
  38. Phrase structure grammars
  39. Chunking
  40. Named Entity Recognition
  41. Probabilistic context-free grammars
  42. Statistical parsing
  43. Dependency grammars