Dr Yi Zhou
(she/her)

PhD

Teams and roles for Yi Zhou

Lecturer
School of Computational and Mathematical Sciences

I am a Lecturer in the School of Computer Science and Informatics at Cardiff University. I obtained my PhD degree in Natural Language Processing (a branch of AI) at the Computer Science department at the University of Liverpool. Previously, I received my MSc in Big Data and High Performance Computing at the University of Liverpool.

My research interests are broadly in ethics, bias and fairness in NLP as well as natural language understanding, such as lexical semantics, language representation learning, multimodality, commonsense reasoning, multilingual approaches, text generation, interpretability and analysis of models.

Please check my personal website for more details.

Date
Type

2026

Zhang, G. , Zhou, Y. and Bollegala, D. 2026. CASE – Condition-aware sentence embeddings for conditional semantic textual similarity measurement. Presented at: 19th Conference of the European Chapter of the Association for Computational Linguistics Rabat, Morocco 24-29 March 2026. Published in: Demberg, V. , Inui, K. and Marquez, L. eds. Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics. Vol. 1.Association for Computational Linguistics. , pp.4954-4968. (10.18653/v1/2026.eacl-long.231)
Zhang, T. , Zhou, Y. and Bollegala, D. 2026. Evaluating the effect of retrieval augmentation on social biases. Presented at: 19th Conference of the European Chapter of the Association for Computational Linguistics Rabat, Morocco 24-29 March 2026. Published in: Demberg, V. , Inui, K. and Marquez, L. eds. Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics. Association for Computational Linguistics. , pp.5004-5026. (10.18653/v1/2026.eacl-long.233)

2024

Myung, J. et al., 2024. BLEND: A benchmark for LLMs on everyday knowledge in diverse cultures and languages. Presented at: 38th Conference on Neural Information Processing Systems (NeurIPS 2024) Track on Datasets and Benchmarks Vancouver, BC, Canada 9-15 December 2024. Published in: Globerson, A. et al., NeurIPS Proceedings: Advances in Neural Information Processing Systems. Vol. 37.Curran Associates, Inc.. , pp.78104-78146.
Zhang, G. , Zhou, Y. and Bollegala, D. 2024. Evaluating unsupervised dimensionality reduction methods for pretrained sentence embeddings. Presented at: The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) Turin, Italy 20-25 May 2024. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). Turin, Italy: ELRA and ICCL. , pp.6530-6543.
Zhou, Y. 2024. Evaluating short-term temporal fluctuations of social biases in social media data and masked language models. Presented at: The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024) Miami, Florida 12-16 November 2024. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics. , pp.19693–19708.

2023

Zhou, Y. , Camacho Collados, J. and Bollegala, D. 2023. A predictive factor analysis of social biases and task-performance in pretrained masked language models. Presented at: 2023 Conference on Empirical Methods in Natural Language Processing Singapore 6-10 December 2023. Published in: Bouamor, H. , Pino, J. and Bali, K. eds. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics. , pp.11082–11100. (10.18653/v1/2023.emnlp-main.683)
Tang, X. et al., 2023. Can word sense distribution detect semantic changes of words?. Presented at: Conference on Empirical Methods in Natural Language Processing, EMNLP Singapore 6-10 December 2023. Published in: Bouamor, H. , Pino, J. and Bali, K. eds. Findings of the Association for Computational Linguistics: EMNLP 2023. Association for Computational Linguistics. (10.18653/v1/2023.findings-emnlp.231)
Ushio, A. , Zhou, Y. and Camacho-Collados, J. 2023. Efficient multilingual language model compression through vocabulary trimming. Presented at: The 2023 Conference on Empirical Methods in Natural Language Processing Singapore 6 - 10 December 2023. Published in: Bouamor, H. , Pino, J. and Bali, K. eds. Findings of the Association for Computational Linguistics: EMNLP 2023. Association for Computational Linguistics. , pp.14725-14739. (10.18653/v1/2023.findings-emnlp.981)
Tang, X. , Zhou, Y. and Bollegala, D. 2023. Learning dynamic contextualised word embeddings via template-based temporal adaptation. Presented at: 61st Annual Meeting of the Association of Computational Linguistics Toronto, Canada 9 - 14 July 2023. Published in: Rogers, A. , Boyd-Graber, J. and Okazaki, N. eds. Proceedings of the 61st Meeting of the Association of Computational Linguistics (Volume 1: Long Papers). Association of Computational Linguistics. (10.18653/v1/2023.acl-long.520)
Wannasuphoprasit, S. , Zhou, Y. and Bollegala, D. 2023. Solving cosine similarity underestimation between high frequency words by ℓ2 norm discounting. Presented at: 61st Annual Meeting of the Association of Computational Linguistics Toronto, Canada 9 - 14 July 2023. Published in: Rogers, A. , Boyd-Graber, J. and Okazaki, N. eds. Findings of the Association of Computational Linguistics: ACL 2023. Association of Computational Linguistics. , pp.8644-8652. (10.18653/v1/2023.findings-acl.550)
Luo, H. , Zhou, Y. and Bollegala, D. 2023. Together we make sense? Learning meta-sense embeddings. Presented at: 61st Annual Meeting of the Association of Computational Linguistics Toronto, Canada 9 - 14 July 2023. Published in: Rogers, A. , Boyd-Graber, J. and Okazaki, N. eds. Findings of the Association for Computational Linguistics: ACL 2023. Association for Computational Linguistics. (10.18653/v1/2023.findings-acl.165)

2022

Zhou, Y. and Bollegala, D. 2022. On the curious case of l2 norm of sense embeddings. Presented at: The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP) Abu Dhabi, United Arab Emirates 7 - 11 December 2022. Published in: Goldberg, Y. , Kozareva, Z. and Zhang, Y. eds. Findings of the Association for Computation Linguistics: EMNLP 2022. Association for Computational Linguistics. (10.18653/v1/2022.findings-emnlp.190)
Zhou, Y. , Kaneko, M. and Bollegala, D. 2022. Sense embeddings are also biased ? Evaluating social biases in static and contextualised sense embeddings. Presented at: ACL 2022: 60th Annual Meeting for Computational Linguistics Dublin, Ireland 22 - 27 May 2022. Published in: Muresan, S. , Nakov, P. and Villavicencio, A. eds. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Vol. 1.Association for Computational Linguistics. , pp.1924 - 1935. (10.18653/v1/2022.acl-long.135)

2020

Cao, G. et al., 2020. Spatio-temporal attention model for tactile texture recognition. Presented at: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Las Vegas, NV, USA 24 October 2020 - 20 January 2021. 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE Xplore. , pp.9896 - 9902. (10.1109/IROS45743.2020.9341333)

2019

Bollegala, D. and Zhou, Y. 2019. Unsupervised Evaluation of Human Translation Quality. Presented at: 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management Vienna, Austria 17 - 19 September 2019. Published in: Fred, A. and Filipe, J. eds. Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management IC3K. Vol. 1.SciTePress. , pp.55-64. (10.5220/0008064500550064)

Conferences

Zhang, G. , Zhou, Y. and Bollegala, D. 2026. CASE – Condition-aware sentence embeddings for conditional semantic textual similarity measurement. Presented at: 19th Conference of the European Chapter of the Association for Computational Linguistics Rabat, Morocco 24-29 March 2026. Published in: Demberg, V. , Inui, K. and Marquez, L. eds. Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics. Vol. 1.Association for Computational Linguistics. , pp.4954-4968. (10.18653/v1/2026.eacl-long.231)
Zhang, T. , Zhou, Y. and Bollegala, D. 2026. Evaluating the effect of retrieval augmentation on social biases. Presented at: 19th Conference of the European Chapter of the Association for Computational Linguistics Rabat, Morocco 24-29 March 2026. Published in: Demberg, V. , Inui, K. and Marquez, L. eds. Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics. Association for Computational Linguistics. , pp.5004-5026. (10.18653/v1/2026.eacl-long.233)
Myung, J. et al., 2024. BLEND: A benchmark for LLMs on everyday knowledge in diverse cultures and languages. Presented at: 38th Conference on Neural Information Processing Systems (NeurIPS 2024) Track on Datasets and Benchmarks Vancouver, BC, Canada 9-15 December 2024. Published in: Globerson, A. et al., NeurIPS Proceedings: Advances in Neural Information Processing Systems. Vol. 37.Curran Associates, Inc.. , pp.78104-78146.
Zhang, G. , Zhou, Y. and Bollegala, D. 2024. Evaluating unsupervised dimensionality reduction methods for pretrained sentence embeddings. Presented at: The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) Turin, Italy 20-25 May 2024. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). Turin, Italy: ELRA and ICCL. , pp.6530-6543.
Zhou, Y. 2024. Evaluating short-term temporal fluctuations of social biases in social media data and masked language models. Presented at: The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024) Miami, Florida 12-16 November 2024. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics. , pp.19693–19708.
Zhou, Y. , Camacho Collados, J. and Bollegala, D. 2023. A predictive factor analysis of social biases and task-performance in pretrained masked language models. Presented at: 2023 Conference on Empirical Methods in Natural Language Processing Singapore 6-10 December 2023. Published in: Bouamor, H. , Pino, J. and Bali, K. eds. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics. , pp.11082–11100. (10.18653/v1/2023.emnlp-main.683)
Tang, X. et al., 2023. Can word sense distribution detect semantic changes of words?. Presented at: Conference on Empirical Methods in Natural Language Processing, EMNLP Singapore 6-10 December 2023. Published in: Bouamor, H. , Pino, J. and Bali, K. eds. Findings of the Association for Computational Linguistics: EMNLP 2023. Association for Computational Linguistics. (10.18653/v1/2023.findings-emnlp.231)
Ushio, A. , Zhou, Y. and Camacho-Collados, J. 2023. Efficient multilingual language model compression through vocabulary trimming. Presented at: The 2023 Conference on Empirical Methods in Natural Language Processing Singapore 6 - 10 December 2023. Published in: Bouamor, H. , Pino, J. and Bali, K. eds. Findings of the Association for Computational Linguistics: EMNLP 2023. Association for Computational Linguistics. , pp.14725-14739. (10.18653/v1/2023.findings-emnlp.981)
Tang, X. , Zhou, Y. and Bollegala, D. 2023. Learning dynamic contextualised word embeddings via template-based temporal adaptation. Presented at: 61st Annual Meeting of the Association of Computational Linguistics Toronto, Canada 9 - 14 July 2023. Published in: Rogers, A. , Boyd-Graber, J. and Okazaki, N. eds. Proceedings of the 61st Meeting of the Association of Computational Linguistics (Volume 1: Long Papers). Association of Computational Linguistics. (10.18653/v1/2023.acl-long.520)
Wannasuphoprasit, S. , Zhou, Y. and Bollegala, D. 2023. Solving cosine similarity underestimation between high frequency words by ℓ2 norm discounting. Presented at: 61st Annual Meeting of the Association of Computational Linguistics Toronto, Canada 9 - 14 July 2023. Published in: Rogers, A. , Boyd-Graber, J. and Okazaki, N. eds. Findings of the Association of Computational Linguistics: ACL 2023. Association of Computational Linguistics. , pp.8644-8652. (10.18653/v1/2023.findings-acl.550)
Luo, H. , Zhou, Y. and Bollegala, D. 2023. Together we make sense? Learning meta-sense embeddings. Presented at: 61st Annual Meeting of the Association of Computational Linguistics Toronto, Canada 9 - 14 July 2023. Published in: Rogers, A. , Boyd-Graber, J. and Okazaki, N. eds. Findings of the Association for Computational Linguistics: ACL 2023. Association for Computational Linguistics. (10.18653/v1/2023.findings-acl.165)
Zhou, Y. and Bollegala, D. 2022. On the curious case of l2 norm of sense embeddings. Presented at: The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP) Abu Dhabi, United Arab Emirates 7 - 11 December 2022. Published in: Goldberg, Y. , Kozareva, Z. and Zhang, Y. eds. Findings of the Association for Computation Linguistics: EMNLP 2022. Association for Computational Linguistics. (10.18653/v1/2022.findings-emnlp.190)
Zhou, Y. , Kaneko, M. and Bollegala, D. 2022. Sense embeddings are also biased ? Evaluating social biases in static and contextualised sense embeddings. Presented at: ACL 2022: 60th Annual Meeting for Computational Linguistics Dublin, Ireland 22 - 27 May 2022. Published in: Muresan, S. , Nakov, P. and Villavicencio, A. eds. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Vol. 1.Association for Computational Linguistics. , pp.1924 - 1935. (10.18653/v1/2022.acl-long.135)
Cao, G. et al., 2020. Spatio-temporal attention model for tactile texture recognition. Presented at: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Las Vegas, NV, USA 24 October 2020 - 20 January 2021. 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE Xplore. , pp.9896 - 9902. (10.1109/IROS45743.2020.9341333)
Bollegala, D. and Zhou, Y. 2019. Unsupervised Evaluation of Human Translation Quality. Presented at: 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management Vienna, Austria 17 - 19 September 2019. Published in: Fred, A. and Filipe, J. eds. Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management IC3K. Vol. 1.SciTePress. , pp.55-64. (10.5220/0008064500550064)

I am interested in supervising PhD students in projects on Natural Language Processing especially social biases and cultural diversity in large language models.

Contact Details

[email protected]
+44 29225 14934
Abacws, Room 5.56, Senghennydd Road, Cathays, Cardiff, CF24 4AG

Dr Yi Zhou (she/her) PhD