Section outline

  • May 8th, Friday (10:30-12:30)

    Hidden Markov models

    • Definition of Hidden Markov model (HMM)
    • Probability estimation for HMM
    • HMMs as automata with output
    • Decoding via Viterbi algorithm

    Neural part-of-speech tagging

    • Local search
    • Fixed-window neural model
    • Recurrent neural model
    • Recurrent bidirectional model

    Sequence labelling

    • Named entity recognition (NER)
    • BIO labeling
    • NER evaluation
    • Other sequence labelling tasks

    References

    • Jurafsky and Martin, chapter 17
    • Slides from the lecture

    Resources