@inproceedings{giordano-lopez-2023-mr4ap,
    title = "{MR}4{AP}: Meaning Representation for Application Purposes",
    author = "Giordano, Bastien  and
      Lopez, C{\'e}dric",
    editor = "Bonn, Julia  and
      Xue, Nianwen",
    booktitle = "Proceedings of the Fourth International Workshop on Designing Meaning Representations",
    month = jun,
    year = "2023",
    address = "Nancy, France",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/add-emnlp-2024-awards/2023.dmr-1.11/",
    pages = "110--121",
    abstract = "Despite the significant progress made in Natural Language Processing (NLP) thanks to deep learning techniques, efforts are still needed to model explicit, factual, and accurate meaning representation formalisms. In this article, we present a comparative table of ten formalisms that have been proposed over the last thirty years, and we describe and put forth our own, Meaning Representation for Application Purposes (MR4AP), developed in an industrial context with a definitive applicative aim."
}