@inproceedings{cao-etal-2019-amazon,
    title = "{A}mazon at {MRP} 2019: Parsing Meaning Representations with Lexical and Phrasal Anchoring",
    author = "Cao, Jie  and
      Zhang, Yi  and
      Youssef, Adel  and
      Srikumar, Vivek",
    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/jlcl-multiple-ingestion/K19-2013/",
    doi = "10.18653/v1/K19-2013",
    pages = "138--148",
    abstract = "This paper describes the system submission of our team Amazon to the shared task on Cross Framework Meaning Representation Parsing (MRP) at the 2019 Conference for Computational Language Learning (CoNLL). Via extensive analysis of implicit alignments in AMR, we recategorize five meaning representations (MRs) into two classes: Lexical- Anchoring and Phrasal-Anchoring. Then we propose a unified graph-based parsing framework for the lexical-anchoring MRs, and a phrase-structure parsing for one of the phrasal- anchoring MRs, UCCA. Our system submission ranked 1st in the AMR subtask, and later improvements show promising results on other frameworks as well."
}