@inproceedings{van-noord-2019-neural,
    title = "Neural Boxer at the {IWCS} Shared Task on {DRS} Parsing",
    author = "van Noord, Rik",
    editor = "Abzianidze, Lasha  and
      van Noord, Rik  and
      Haagsma, Hessel  and
      Bos, Johan",
    booktitle = "Proceedings of the {IWCS} Shared Task on Semantic Parsing",
    month = may,
    year = "2019",
    address = "Gothenburg, Sweden",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/iwcs-25-ingestion/W19-1204/",
    doi = "10.18653/v1/W19-1204",
    abstract = "This paper describes our participation in the shared task of Discourse Representation Structure parsing. It follows the work of Van Noord et al. (2018), who employed a neural sequence-to-sequence model to produce DRSs, also exploiting linguistic information with multiple encoders. We provide a detailed look in the performance of this model and show that (i) the benefit of the linguistic features is evident across a number of experiments which vary the amount of training data and (ii) the model can be improved by applying a number of postprocessing methods to fix ill-formed output. Our model ended up in second place in the competition, with an F-score of 84.5."
}