@inproceedings{coavoux-crabbe-2017-incremental,
    title = "Incremental Discontinuous Phrase Structure Parsing with the {GAP} Transition",
    author = "Coavoux, Maximin  and
      Crabb{\'e}, Beno{\^i}t",
    editor = "Lapata, Mirella  and
      Blunsom, Phil  and
      Koller, Alexander",
    booktitle = "Proceedings of the 15th Conference of the {E}uropean Chapter of the Association for Computational Linguistics: Volume 1, Long Papers",
    month = apr,
    year = "2017",
    address = "Valencia, Spain",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/add-emnlp-2024-awards/E17-1118/",
    pages = "1259--1270",
    abstract = "This article introduces a novel transition system for discontinuous lexicalized constituent parsing called SR-GAP. It is an extension of the shift-reduce algorithm with an additional gap transition. Evaluation on two German treebanks shows that SR-GAP outperforms the previous best transition-based discontinuous parser (Maier, 2015) by a large margin (it is notably twice as accurate on the prediction of discontinuous constituents), and is competitive with the state of the art (Fern{\'a}ndez-Gonz{\'a}lez and Martins, 2015). As a side contribution, we adapt span features (Hall et al., 2014) to discontinuous parsing."
}