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Notes and resources for the Intro to NLP course at IIIT Hyderabad.

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spring22-NLP

Notes and resources for the Intro to NLP course at IIIT Hyderabad.

Lecture Contents

  • Week 1
    • Lecture 1 (04 Jan, Tuesday)
      • Introduction
    • Lecture 2 (07 Jan, Friday)
      • Tokenisation
        • Applications
          • Text Classification
          • n-Grams
  • Week 2
    • Lecture 3 (11 Jan, Tuesday)
      • Evaluation Metrics
      • Smoothing
        • Laplace Smoothing
        • Good-Turing Smoothing
  • Week 3
    • Lecture 4 (21 Jan, Friday)
      • Smoothing (contd.)
        • Interpolation and Backoff
        • Kneser-Ney Smoothing
  • Week 4
    • Lecture 5 (25 Jan, Tuesday)
      • Smoothing (contd.)
        • Witten-Bell Discounting
      • Part-of-Speech Tagging
        • Hidden Markov Models
    • Lecture 6 (28 Jan, Friday)
      • Part-of-Speech Tagging
        • Hidden Markov Models (contd.)
          • Likelihood of a Sequence
          • Best State Sequence
  • Week 6
    • Lecture 7 (08 Feb, Tuesday)
      • Part-of-Speech Tagging
        • Hidden Markov Models (contd.)
          • Re-Estimation of Parameters
    • Lecture 8 (11 Feb, Friday)
      • Part-of-Speech Tagging (contd.)
        • Generative Modelling
        • Maximum-Entropy Markov Models
  • Week 7
    • Lecture 9 (18 Feb, Friday)
      • Word2Vec
  • Week 8
    • Lecture 10 (22 Feb, Tuesday)
      • Deep Learning and NLP
        • Neural Network Language Models
    • Lecture 11 (25 Feb, Friday)
      • Neural Network Language Models (contd.)
        • Recurrent Neural Networks
          • Functioning of RNNs
  • Week 9
    • Lecture 12 (08 Mar, Tuesday)
      • Neural Network Language Models
        • Recurrent Neural Networks
          • Conditional RNNs
        • Long Short-Term Memory Networks
    • Lecture 13 (11 Mar, Friday)
      • Word Meaning Representations
  • Week 10
    • Lecture 14 (15 Mar, Tuesday)
      • Word Meaning Representations (contd.)
    • Lecture 15 (17 Mar, Thursday)
      • Frames
      • Machine Translation
  • Week 11
    • Lecture 16 (22 Mar, Tuesday)
      • Machine Translation (contd.)
    • Lecture 17 (25 Mar, Friday)
      • Transformers
        • Attention
        • Architecture
  • Week 13
    • Lecture 18 (05 Apr, Tuesday)
      • Transformers (contd.)
    • Lecture 19 (08 Apr, Friday)
      • BERT
      • Post-BERT
      • Distillation
  • Week 15
    • Lecture 20 (19 Apr, Friday)
      • Tasks
        • Classification
        • Syntactic Annotation
        • Semantic Parsing
        • Information Retrieval
        • Natural Language Inference/Recognising Textual Entailment

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Notes and resources for the Intro to NLP course at IIIT Hyderabad.

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