@inproceedings{lopez-ponce-etal-2025-gil,
    title = "{GIL}-{IIMAS} {UNAM} at {S}em{E}val-2025 Task 3: {M}e{SSI}: A Multilmodule System to detect hallucinated Segments in trivia-like Inquiries.",
    author = "Lopez - Ponce, Francisco  and
      Salas - Jimenez, Karla  and
      Ju{\'a}rez - P{\'e}rez, Adri{\'a}n  and
      Hern{\'a}ndez - Bustamente, Diego  and
      Bel - Enguix, Gemma  and
      Gomez - Adorno, Helena",
    editor = "Rosenthal, Sara  and
      Ros{\'a}, Aiala  and
      Ghosh, Debanjan  and
      Zampieri, Marcos",
    booktitle = "Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)",
    month = jul,
    year = "2025",
    address = "Vienna, Austria",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/corrections-2025-08/2025.semeval-1.208/",
    pages = "1577--1584",
    ISBN = "979-8-89176-273-2",
    abstract = "We present MeSSI, a multi-module system applied to SemEval 2025{'}s task 3: Mu-SHROOM. Our system tags questions in order to obtain semantic relevant terms that are used as information retrieval characteristics. Said characteristics serve as extraction terms for Wikipedia pages that are in turn processed to generate gold standard texts used in a hallucination evaluation system. A PoST-based entity comparison was implemented to contrast the test dataset sentences with the corresponding generated gold standards, wich in turn was the main criteria to tag hallucinations, partitioned in soft labels and hard labels. This method was tested in Spanish and English, finishing 18th and 19th respectively on the IoU based ranking."
}