@inproceedings{wein-schneider-2021-classifying,
    title = "Classifying Divergences in Cross-lingual {AMR} Pairs",
    author = "Wein, Shira  and
      Schneider, Nathan",
    editor = "Bonial, Claire  and
      Xue, Nianwen",
    booktitle = "Proceedings of the Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing Meaning Representations (DMR) Workshop",
    month = nov,
    year = "2021",
    address = "Punta Cana, Dominican Republic",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2021.law-1.6/",
    doi = "10.18653/v1/2021.law-1.6",
    pages = "56--65",
    abstract = "Translation divergences are varied and widespread, challenging approaches that rely on parallel text. To annotate translation divergences, we propose a schema grounded in the Abstract Meaning Representation (AMR), a sentence-level semantic framework instantiated for a number of languages. By comparing parallel AMR graphs, we can identify specific points of divergence. Each divergence is labeled with both a type and a cause. We release a small corpus of annotated English-Spanish data, and analyze the annotations in our corpus."
}