@inproceedings{tsujimoto-etal-2025-semantic,
    title = "Semantic Frame Induction from a Real-World Corpus",
    author = "Tsujimoto, Shogo  and
      Yamada, Kosuke  and
      Sasano, Ryohei",
    editor = "Zhao, Jin  and
      Wang, Mingyang  and
      Liu, Zhu",
    booktitle = "Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)",
    month = jul,
    year = "2025",
    address = "Vienna, Austria",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/landing_page/2025.acl-srw.72/",
    pages = "991--997",
    ISBN = "979-8-89176-254-1",
    abstract = "Recent studies on semantic frame induction have demonstrated that the emergence of pre-trained language models (PLMs) has led to more accurate results.However, most existing studies evaluate the performance using frame resources such as FrameNet, which may not accurately reflect real-world language usage.In this study, we conduct semantic frame induction using the Colossal Clean Crawled Corpus (C4) and assess the applicability of existing frame induction methods to real-world data.Our experimental results demonstrate that existing frame induction methods are effective on real-world data and that frames corresponding to novel concepts can be induced."
}