CS 626-460 - Natural Language Processing. Spring 2011



Student Seminars Lecture Notes Resources Marks/Grades Lab Assignments NLP Project Group



Instructor: Prof. Pushpak Bhattacharyya (pb[AT]cse.iitb.ac.in)

TAs:

  • Debarghya(deb[AT]cse.iitb.ac.in)
  • Subhajit(subbo[AT]cse.iitb.ac.in)
  • Kushal(kush[AT]cse.iitb.ac.in)

  • Lecture Schedule and Venue

    Timings: Monday 11:30AM-12:30PM, Tuesday 8:30AM-9:30AM, Thursday 9:30AM-10:30AM

    Venue: SIC 201, Kanwal Rekhi Building


    Student seminars

    1. Automatic Text Summarization[PPTX]
    2. Bilingual Terminology Mining[PPTX][PDF]
    3. Binding Theory[PPTX]
    4. Combinatory Categorial Grammar[PPT]
    5. Comparable Corpora[PPT]
    6. Coreference Resolution[PPTX][PDF]
    7. Dependency Parsing[LATEX]
    8. Dialogue based MT[PDF]
    9. Information Retrieval[PPT1][PPT2]
    10. Lost Language Decipheration[PPTX]
    11. Multiword Expressions[PPTX]
    12. Natural Language Generation[PPTX][PDF]
    13. People's interest in Social Networks[PPTX]
    14. Selection of Relevant Features and Examples in Machine[PPTX]
    15. Semantic Web and Linked Data[PPTX]
    16. Syntax Parse based MT[PPTX]
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    Lecture Notes
    1. Lecture 1, Jan 4: Introduction[PDF][PPTX]
    2. Lecture 2, Jan 6: Wordnet-WSD[PDF][PPTX]
    3. Lecture 3, Jan 10: Wordnet-WSD contd.[PDF][PPTX]Extra Slides[PPTX]
    4. Lecture 4, Jan 11: Wordnet-WSD contd.[PDF][PPTX]
    5. Lecture 5, Jan 13: WSD approaches.[PDF][PPTX]
    6. Lecture 6, Jan 17: WSD Presentation [PDF][PPTX]
    7. Lecture 7, Jan 18: WSD approaches continued.[PDF][PPTX]
    8. Lecture 8, Jan 20: IWSD approaches [PDF][PPTX]
    9. Lecture 9, Jan 24: IWSD MT start [PDF][PPTX]
    10. Lecture 10 and 11, Jan 25-27: MT approaches [PDF][PPTX]
    11. Lecture 12, Jan 31: Argmax Model1 [PDF][PPTX]
    12. Lecture 13 and 14, Feb 03-07: Argmax Computation[PDF][PPTX]
    13. Lecture 15, Feb 08: Language Divergence[PDF][PPTX]
    14. Lecture 16, Feb 14: Linear and Logistic Regression[PDF][PPTX]
    15. Lecture 17, Feb 14: Alignment in SMT[PDF][PPTX]
    16. Lecture 18, Feb 15: Moses & GIZA++ Tutorial[PDF][PPTX]
    17. Lecture 19, Feb 17: Training and Decoding of SMT System[PDF][PPTX]
    18. Lecture 20, Feb 28: Parsing[PDF][PPTX]
    19. Lecture 21,22, March 01-03: Sentiment Analysis lecture by Aditya Joshi Lecture 1 Lecture 2
    20. Lecture 23,24, March 08-10 : Parsing Ambiguity and Probabilistic Parsing[PDF][PPTX]
    21. Lecture 25, March 14: Probabilistic Parsing[PDF][PPTX]
    22. Lecture 26, March 15: HMM recap and Probabilistic parsing(contd.) [PDF] [PPTX]
    23. Lecture 27, March 17 : SMT assignment and Probabilistic parsing(contd.)[PDF][PPTX]
    24. Lecture 28, March 21 : Grammar; Constituency and Dependency[PDF][PPTX]
    25. Lecture 29, March 22 : CYK; Inside Probability; Parse Tree construction[PDF][PPTX]
    26. Lecture 30, March 24 :CYK; Inside Probability; Parse Tree construction(contd.)[PDF][PPTX]
    27. Lecture 31, March 28 :Comparison of Parsers[PDF][PPTX]
    28. Lecture 32, March 29 :PCFG Training; Inside Probability; Phonetics[PDF][PPTX]
    29. Lecture 33, March 31 :Phonetics and Phonology[PDF][PPTX]
    30. Lecture 34, April 5 :Pronounciation Scoring for Language Learner[PDF][PPTX]
    31. Lecture 35, April 7 :Phonetics and Phonology; Syllabification[PDF][PPTX]
    32. Lecture 36, April 11 :Syllabification and transliteration[PDF][PPTX]
    33. Lecture 37, April 12 :Semantics; Universal Networking Language[PDF][PPTX]
    34. Lecture 38, April 14 :Universal Networking Language[PDF][PPTX]

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    Lab Assignments

    1. Assignment 1: CrowdSourcing [PPTX]
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    Resources