Section outline

  • May 5th, Monday (16:30-18:30)

    Dependency parsing

    • Feature extraction, feature functions and feature templates
    • Alternative models for dependency parsing: beam search and graph-based dependency parsing

    Neural dependency parsing

    • Case study: Kiperwasser & Goldberg 2016
    • Feature extraction using BiLSTM
    • Hinge loss function

    Evaluation for dependency parsing

    • Unlabelled attachment score (UAS)
    • Labelled attachment score (LAS)

    References

    • Jurafsky and Martin, chapter 19
    • Slides from the lecture
    • Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations, Kiperwasser and Goldberg, TACL, vol. 4, 2016