@inproceedings{chen-etal-2019-peking,
    title = "Peking at {MRP} 2019: Factorization- and Composition-Based Parsing for Elementary Dependency Structures",
    author = "Chen, Yufei  and
      Ye, Yajie  and
      Sun, Weiwei",
    editor = "Oepen, Stephan  and
      Abend, Omri  and
      Hajic, Jan  and
      Hershcovich, Daniel  and
      Kuhlmann, Marco  and
      O{'}Gorman, Tim  and
      Xue, Nianwen",
    booktitle = "Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning",
    month = nov,
    year = "2019",
    address = "Hong Kong",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/K19-2016/",
    doi = "10.18653/v1/K19-2016",
    pages = "166--176",
    abstract = "We design, implement and evaluate two semantic parsers, which represent factorization- and composition-based approaches respectively, for Elementary Dependency Structures (EDS) at the CoNLL 2019 Shared Task on Cross-Framework Meaning Representation Parsing. The detailed evaluation of the two parsers gives us a new perception about parsing into linguistically enriched meaning representations: current neural EDS parsers are able to reach an accuracy at the inter-annotator agreement level in the same-epoch-and-domain setup."
}