@inproceedings{lindemann-etal-2020-fast,
    title = "Fast semantic parsing with well-typedness guarantees",
    author = "Lindemann, Matthias  and
      Groschwitz, Jonas  and
      Koller, Alexander",
    editor = "Webber, Bonnie  and
      Cohn, Trevor  and
      He, Yulan  and
      Liu, Yang",
    booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)",
    month = nov,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2020.emnlp-main.323/",
    doi = "10.18653/v1/2020.emnlp-main.323",
    pages = "3929--3951",
    abstract = "AM dependency parsing is a linguistically principled method for neural semantic parsing with high accuracy across multiple graphbanks. It relies on a type system that models semantic valency but makes existing parsers slow. We describe an A* parser and a transition-based parser for AM dependency parsing which guarantee well-typedness and improve parsing speed by up to 3 orders of magnitude, while maintaining or improving accuracy."
}