@inproceedings{nishi-takagi-2025-wc,
    title = "{WC} Team at {S}em{E}val-2025 Task 6: {P}romise{E}val: Multinational, Multilingual, Multi-Industry Promise Verification leveraging monolingual and multilingual {BERT} models",
    author = "Nishi, Takumi  and
      Takagi, Nicole Miu",
    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-1.219/",
    pages = "1670--1676",
    ISBN = "979-8-89176-273-2",
    abstract = "This paper presents our system developed for SemEval-2025 Task 6: PromiseEval: Multinational, Multilingual, Multi-Industry Promise Verification. The task aims at identifying ``promises'' made and ``evidence'' provided in company ESG statements for various languages. Our team participated in Subtasks 1 and 2 for the languages English, French, and Japanese. In this work, we propose using BERT and finetuning it to better address the task. We achieve competitive results, especially for English and Japanese."
}