@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://aclanthology.org/2025.acl-srw.72/",
doi = "10.18653/v1/2025.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."
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%0 Conference Proceedings
%T Semantic Frame Induction from a Real-World Corpus
%A Tsujimoto, Shogo
%A Yamada, Kosuke
%A Sasano, Ryohei
%Y Zhao, Jin
%Y Wang, Mingyang
%Y Liu, Zhu
%S Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
%D 2025
%8 July
%I Association for Computational Linguistics
%C Vienna, Austria
%@ 979-8-89176-254-1
%F tsujimoto-etal-2025-semantic
%X 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.
%R 10.18653/v1/2025.acl-srw.72
%U https://aclanthology.org/2025.acl-srw.72/
%U https://doi.org/10.18653/v1/2025.acl-srw.72
%P 991-997
Markdown (Informal)
[Semantic Frame Induction from a Real-World Corpus](https://aclanthology.org/2025.acl-srw.72/) (Tsujimoto et al., ACL 2025)
ACL
- Shogo Tsujimoto, Kosuke Yamada, and Ryohei Sasano. 2025. Semantic Frame Induction from a Real-World Corpus. In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop), pages 991–997, Vienna, Austria. Association for Computational Linguistics.