Chan, N. I., & Zeng, W. H. (Accepted/In press). Conceptualizing sustainability: A corpus-based diachronic study of metaphors in environmental policy discourse. In Proceedings of the 26th Chinese Lexical Semantic Workshop (CLSW 2025) Springer.

Nga In Chan, Winnie Huiheng Zeng (LST)

Pan, J., Chen, X., & Zhang, C. (2025). Computational Modeling of Tonal Encoding in Disyllabic Mandarin Word Production. In D. Barner, N. R. Bramley, A. Ruggeri, & C. M. Walker (Eds.), Proceedings of the 47th Annual Conference of the Cognitive Science Society (Vol. 47, pp. 287-294) https://escholarship.org/uc/item/3p59p1kt

Jiabing Pan, Xiaocong Chen (LST), Caicai Zhang (LST)

Radaelli, M., Chersoni, E., Lenci, A., & Baggio, G. (2025). Compositionality and Event Retrieval in Complement Coercion: A Study of Language Models in a Low-resource Setting. In G. Boleda, & M. Roth (Eds.), Proceedings of the 29th Conference on Computational Natural Language Learning (CoNLL 2025) (pp. 469-480). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.conll-1.31

Matteo Radaelli, Emmanuele Chersoni (LST), Alessandro Lenci, Giosuè Baggio

Qiu, L., Chersoni, E., & Villavicencio, A. (2025). ChengyuSTS: An Intrinsic Perspective on Mandarin Idiom Representation. In L. Frermann, & M. Stevenson (Eds.), Proceedings of the 14th Joint Conference on Lexical and Computational Semantics (*SEM 2025) (pp. 1-12). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.starsem-1.1

Le Qiu (Corresponding Author), Emmanuele Chersoni (LST), Aline Villavicencio

Zhao, X., Xu, H., Song, H., Chersoni, E., & Huang, C.-R. (2025). Can LLMs Help Sun Wukong in his Journey to the West? A Case Study of Language Models in Video Game Localization. In I. N. Arachchige, F. Frontini, R. Mitkov, & P. Rayson (Eds.), Proceedings of the First Workshop on Natural Language Processing and Language Models for Digital Humanities (LM4DH 2025) (pp. 164‑173) https://www.researchgate.net/publication/395326913_Can_LLMs_Help_Sun_Wukong_in_his_Journey_to_the_West_A_Case_Study_of_Language_Models_in_Video_Game_Localization

Xiaojing Zhao, Han Xu (LST), Huacheng Song, Emmanuele Chersoni (LST), Chu-Ren Huang (LST)

Zhou, H., Chersoni, E., & Hsu, Y. Y. (2025). Branching Out: Exploration of Chinese Dependency Parsing with Fine-tuned Large Language Models. In G. Angelova, M. Kunilovskaya, M. Escribe, & R. Mitkov (Eds.), Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing: Natural Language Processing in the Generative AI era (pp. 1437‑1445) https://www.researchgate.net/publication/395326694_Branching_Out_Exploration_of_Chinese_Dependency_Parsing_with_Fine-tuned_Large_Language_Models

He Zhou, Emmanuele Chersoni (LST), Yu Yin Hsu (LST)

Tang, X., Wang, J., Su, Q., Huang, C.-R., & Gu, J. (2025). An Effective Incorporating Heterogeneous Knowledge Curriculum Learning for Sequence Labeling. In W. Che, J. Nabende, E. Shutova, & M. T. Pilehvar (Eds.), Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) (pp. 495-503). (Proceedings of the Annual Meeting of the Association for Computational Linguistics; Vol. 2). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2025.acl-short.38

Xuemei Tang, Jun Wang, Qi Su (Corresponding Author), Chu-Ren Huang (LST), Jinghang Gu (LST) (Corresponding Author)

Zheng, S., & Liu, K. (2025). AI-Assisted Writing on News Report: A Case Study on AI-Generated Content and Human-Generated Content. In T. Hao, J. G. Wu, X. Luo, Y. Sun, Y. Mu, S. Ge, & W. Xie (Eds.), Learning Technologies and Systems: 23rd International Conference on Web-Based Learning, ICWL 2024 and 9th International Symposium on Emerging Technologies for Education, SETE 2024 Shanghai, China, November 26–28, 2024 Revised Selected Papers (pp. 145-152). (Lecture Notes in Computer Science; Vol. 15589 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-96-4407-0_12

Shuangshuang Zheng (Corresponding Author), Kanglong Liu (LST)

Tang, Q., Lee, S. Y. M., Wu, J., Zhang, D., Li, S., Cambria, E., & Zhou, G. (2025). A Comprehensive Graph Framework for Question Answering with Mode-Seeking Preference Alignment. In W. Che, J. Nabende, E. Shutova, & M. T. Pilehvar (Eds.), Findings of the Association for Computational Linguistics: ACL 2025 (pp. 21504-21523). (Proceedings of the Annual Meeting of the Association for Computational Linguistics). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2025.findings-acl.1108

Quanwei Tang, Sophia Yat Mei Lee (LST), Junshuang Wu, Dong Zhang (Corresponding Author), Shoushan Li, Erik Cambria, Guodong Zhou

Chen, Z., & Hsu, Y. Y. (Accepted/In press). 漢語使役結構在句法-語義界面差異的習得影響: 以英語母語者為例. In Proceedings of the Chinese Lexical Semantic Workshop 2024

Zhihong Chen, Yu Yin Hsu (CBS)