@inproceedings{jurgens-2021-learning,
    title = "Learning {P}y{T}orch Through A Neural Dependency Parsing Exercise",
    author = "Jurgens, David",
    editor = "Jurgens, David  and
      Kolhatkar, Varada  and
      Li, Lucy  and
      Mieskes, Margot  and
      Pedersen, Ted",
    booktitle = "Proceedings of the Fifth Workshop on Teaching NLP",
    month = jun,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/moar-dois/2021.teachingnlp-1.10/",
    doi = "10.18653/v1/2021.teachingnlp-1.10",
    pages = "62--64",
    abstract = "Dependency parsing is increasingly the popular parsing formalism in practice. This assignment provides a practice exercise in implementing the shift-reduce dependency parser of Chen and Manning (2014). This parser is a two-layer feed-forward neural network, which students implement in PyTorch, providing practice in developing deep learning models and exposure to developing parser models."
}