@inproceedings{boucharenc-etal-2026-using,
    title = "Using syntax for the semantic representation of sentences",
    author = "Boucharenc, Iskandar  and
      Sauvage, Eve  and
      Gerald, Thomas  and
      Tourille, Julien  and
      Campano, Sabrina  and
      Grouin, Cyril  and
      Rosset, Sophie",
    editor = "Hinrichs, Erhard  and
      Nivre, Joakim  and
      Osenova, Petya  and
      Pustejovsky, James  and
      Zinn, Claus",
    booktitle = "Proceedings of the Workshop on Structured Linguistic Data and Evaluation ({SL}i{DE})",
    month = may,
    year = "2026",
    address = "Palma de Mallorca, Spain",
    publisher = "ELRA Language Resources Association (ELRA)",
    url = "https://preview.aclanthology.org/ingest-lrec/2026.slide-1.15/",
    doi = "10.63317/4gtinxarm3dd",
    pages = "169--179",
    abstract = "Deep learning methods in natural language processing often rely on statistical methods to tokenize texts before vectorization. This segmentation produces lexical subunits offering great flexibility. However, the reuse of identical tokens across words with different meanings can favor representations based on surface form rather than on linguistic information, especially semantics. This mismatch between semantics and surface form can lead to undesirable effects in language processing. To limit the influence of form on the semantics of vector representations, we propose an intermediate representation based on syntactic parsing that is more compact and more faithful to word meaning."
}