@inproceedings{pavlova-etal-2022-much,
    title = "How much of {UCCA} can be predicted from {AMR}?",
    author = "Pavlova, Siyana  and
      Amblard, Maxime  and
      Guillaume, Bruno",
    editor = "Bunt, Harry",
    booktitle = "Proceedings of the 18th Joint ACL - ISO Workshop on Interoperable Semantic Annotation within LREC2022",
    month = jun,
    year = "2022",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://preview.aclanthology.org/landing_page/2022.isa-1.15/",
    pages = "110--117",
    abstract = "In this paper, we consider two of the currently popular semantic frameworks: Abstract Meaning Representation (AMR) - a more abstract framework, and Universal Conceptual Cognitive Annotation (UCCA) - an anchored framework. We use a corpus-based approach to build two graph rewriting systems, a deterministic and a non-deterministic one, from the former to the latter framework. We present their evaluation and a number of ambiguities that we discovered while building our rules. Finally, we provide a discussion and some future work directions in relation to comparing semantic frameworks of different flavors."
}