@inproceedings{gomez-rodriguez-etal-2020-unifying,
    title = "A Unifying Theory of Transition-based and Sequence Labeling Parsing",
    author = "G{\'o}mez-Rodr{\'i}guez, Carlos  and
      Strzyz, Michalina  and
      Vilares, David",
    editor = "Scott, Donia  and
      Bel, Nuria  and
      Zong, Chengqing",
    booktitle = "Proceedings of the 28th International Conference on Computational Linguistics",
    month = dec,
    year = "2020",
    address = "Barcelona, Spain (Online)",
    publisher = "International Committee on Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2020.coling-main.336/",
    doi = "10.18653/v1/2020.coling-main.336",
    pages = "3776--3793",
    abstract = "We define a mapping from transition-based parsing algorithms that read sentences from left to right to sequence labeling encodings of syntactic trees. This not only establishes a theoretical relation between transition-based parsing and sequence-labeling parsing, but also provides a method to obtain new encodings for fast and simple sequence labeling parsing from the many existing transition-based parsers for different formalisms. Applying it to dependency parsing, we implement sequence labeling versions of four algorithms, showing that they are learnable and obtain comparable performance to existing encodings."
}