@inproceedings{beschke-2019-exploring,
    title = "Exploring Graph-Algebraic {CCG} Combinators for Syntactic-Semantic {AMR} Parsing",
    author = "Beschke, Sebastian",
    editor = "Mitkov, Ruslan  and
      Angelova, Galia",
    booktitle = "Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)",
    month = sep,
    year = "2019",
    address = "Varna, Bulgaria",
    publisher = "INCOMA Ltd.",
    url = "https://preview.aclanthology.org/iwcs-25-ingestion/R19-1014/",
    doi = "10.26615/978-954-452-056-4_014",
    pages = "112--121",
    abstract = "We describe a new approach to semantic parsing based on Combinatory Categorial Grammar (CCG). The grammar{'}s semantic construction operators are defined in terms of a graph algebra, which allows our system to induce a compact CCG lexicon. We introduce an expectation maximisation algorithm which we use to filter our lexicon down to 2500 lexical templates. Our system achieves a semantic triple (Smatch) precision that is competitive with other CCG-based AMR parsing approaches."
}Markdown (Informal)
[Exploring Graph-Algebraic CCG Combinators for Syntactic-Semantic AMR Parsing](https://preview.aclanthology.org/iwcs-25-ingestion/R19-1014/) (Beschke, RANLP 2019)
ACL