@inproceedings{speranza-2025-inferring,
    title = "Inferring Semantic Relations Between Terms with Large Language Models",
    author = "Speranza, Giulia",
    editor = "Gkirtzou, Katerina  and
      {\v{Z}}itnik, Slavko  and
      Gracia, Jorge  and
      Gromann, Dagmar  and
      di Buono, Maria Pia  and
      Monti, Johanna  and
      Ionov, Maxim",
    booktitle = "Proceedings of the 5th Conference on Language, Data and Knowledge: TermTrends 2025",
    month = sep,
    year = "2025",
    address = "Naples, Italy",
    publisher = "Unior Press",
    url = "https://preview.aclanthology.org/ingest-emnlp/2025.termtrends-1.3/",
    pages = "25--30",
    ISBN = "978-88-6719-334-9",
    abstract = "The purpose of this paper is to investigate the ability of Large Language Models (LLMs) to identify relations among terms, with the goal of facilitating and accelerating the construction of thesauri and terminological resources. We investigate whether the use of LLMs in this context can provide a valuable initial set of relations, serving as a basis upon which professional terminologists can build, validate, and enrich domain-specific knowledge representations."
}