| Spatio-temporal attention model for tactile texture recognition G Cao, Y Zhou, D Bollegala, S Luo 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 36 | 2020 |
| Sense Embeddings are also Biased--Evaluating Social Biases in Static and Contextualised Sense Embeddings Y Zhou, M Kaneko, D Bollegala ACL 2022, 2022 | 23 | 2022 |
| Learning Sense-Specific Static Embeddings using Contextualised Word Embeddings as a Proxy Y Zhou, D Bollegala PACLIC 35, 2021 | 9 | 2021 |
| Unsupervised Evaluation of Human Translation Quality Y Zhou, D Bollegala KDIR 2019, 2019 | 5 | 2019 |
| Can Word Sense Distribution Detect Semantic Changes of Words? X Tang, Y Zhou, T Aida, P Sen, D Bollegala EMNLP 2023 Findings, 2023 | 4 | 2023 |
| An Efficient Multilingual Language Model Compression through Vocabulary Trimming A Ushio, Y Zhou, J Camacho-Collados EMNLP 2023 Findings, 2023 | 3 | 2023 |
| A Predictive Factor Analysis of Social Biases and Task-Performance in Pretrained Masked Language Models Y Zhou, J Camacho-Collados, D Bollegala EMNLP 2023, 2023 | 2 | 2023 |
| Solving Cosine Similarity Underestimation between High Frequency Words by l2 Norm Discounting S Wannasuphoprasit, Y Zhou, D Bollegala arXiv preprint arXiv:2305.10610, 2023 | 2 | 2023 |
| Learning Dynamic Contextualised Word Embeddings via Template-based Temporal Adaptation X Tang, Y Zhou, D Bollegala ACL 2023, 2022 | 2 | 2022 |
| On the Curious Case of norm of Sense Embeddings Y Zhou, D Bollegala EMNLP 2022 Findings, 2022 | 1 | 2022 |
| Evaluating Short-Term Temporal Fluctuations of Social Biases in Social Media Data and Masked Language Models Y Zhou, D Bollegala, J Camacho-Collados arXiv preprint arXiv:2406.13556, 2024 | | 2024 |
| BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages J Myung, N Lee, Y Zhou, J Jin, RA Putri, D Antypas, H Borkakoty, E Kim, ... arXiv preprint arXiv:2406.09948, 2024 | | 2024 |
| Evaluating Unsupervised Dimensionality Reduction Methods for Pretrained Sentence Embeddings G Zhang, Y Zhou, D Bollegala arXiv preprint arXiv:2403.14001, 2024 | | 2024 |
| A Word Sense Distribution-based approach for Semantic Change Prediction X Tang, Y Zhou, T Aida, P Sen, D Bollegala The 2023 Conference on Empirical Methods in Natural Language Processing, 2023 | | 2023 |
| Solving Cosine Similarity Underestimation between High Frequency Words by Norm Discounting S Wannasuphoprasit, Y Zhou, D Bollegala The 61st Annual Meeting Of The Association For Computational Linguistics, 2023 | | 2023 |
| Together We Make Sense–Learning Meta-Sense Embeddings H Luo, Y Zhou, D Bollegala Findings of the Association for Computational Linguistics: ACL 2023, 2638-2651, 2023 | | 2023 |
| Together We Make Sense--Learning Meta-Sense Embeddings from Pretrained Static Sense Embeddings H Luo, Y Zhou, D Bollegala arXiv preprint arXiv:2305.19092, 2023 | | 2023 |
| Representation Learning for Word Senses and Evaluation of their Properties Y Zhou PQDT-Global, 2023 | | 2023 |
| Predicting the Quality of Translations Without an Oracle Y Zhou, D Bollegala Knowledge Discovery, Knowledge Engineering and Knowledge Management: 11th …, 2020 | | 2020 |
Danushka BollegalaProfessor, The University of Liverpool, DMML, Amazon.com在 amazon.com 的电子邮件经过验证
