@inproceedings{wang-etal-2019-shanghaitech,
    title = "{S}hanghai{T}ech at {MRP} 2019: Sequence-to-Graph Transduction with Second-Order Edge Inference for Cross-Framework Meaning Representation Parsing",
    author = "Wang, Xinyu  and
      Liu, Yixian  and
      Jia, Zixia  and
      Jiang, Chengyue  and
      Tu, Kewei",
    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/K19-2005/",
    doi = "10.18653/v1/K19-2005",
    pages = "55--65",
    abstract = "This paper presents the system used in our submission to the CoNLL 2019 shared task: Cross-Framework Meaning Representation Parsing. Our system is a graph-based parser which combines an extended pointer-generator network that generates nodes and a second-order mean field variational inference module that predicts edges. Our system achieved 1st and 2nd place for the DM and PSD frameworks respectively on the in-framework ranks and achieved 3rd place for the DM framework on the cross-framework ranks."
}