Search results
Results: 46
Number of items: 46
-
Pal, V., Kanoulas, E., Yates, A., & de Rijke, M. (2024). Table Question Answering for Low-resourced Indic Languages. In Y. Al-Onaizan, M. Bansal, & Y.-N. Chen (Eds.), The 2024 Conference on Empirical Methods in Natural Language Processing : Proceedings of the Conference: EMNLP 2024 : November 12-16, 2024 (pp. 75-92). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.emnlp-main.5 -
Rus, C., Poerwawinata, G., Yates, A., & de Rijke, M. (2024). AnnoRank: A Comprehensive Web-Based Framework for Collecting Annotations and Assessing Rankings. In CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management : October, 21-25. 2024, Boise, ID, USA (pp. 5400-5404). Association for Computing Machinery. https://doi.org/10.1145/3627673.3679174 -
Rajapakse, T. C., Yates, A., & de Rijke, M. (2024). Simple Transformers: Open-source for All. In SIGIR-AP '24: Proceedings of the 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region : December 9-12, 2024, Tokyo, Japan (pp. 209-215). Association for Computing Machinery. https://doi.org/10.1145/3673791.3698412 -
Li, M., Liu, Y., Jullien, S., Ariannezhad, M., Yates, A., Aliannejadi, M., & de Rijke, M. (2024). Are We Really Achieving Better Beyond-Accuracy Performance in Next Basket Recommendation? In SIGIR '24: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 14-18, 2024, Washington, DC, USA (pp. 924-934). Association for Computing Machinery. https://doi.org/10.1145/3626772.3657835 -
Nguyen, T., Hendriksen, M., Yates, A., & de Rijke, M. (2024). Multimodal Learned Sparse Retrieval with Probabilistic Expansion Control. In N. Goharian, N. Tonellotto, Y. He, A. Lipani, G. McDonald, C. Macdonald, & I. Ounis (Eds.), Advances in Information Retrieval: 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24–28, 2024 : proceedings (Vol. II, pp. 448–464). ( Lecture Notes in Computer Science; Vol. 14609). Springer. https://doi.org/10.48550/arXiv.2402.17535, https://doi.org/10.1007/978-3-031-56060-6_29 -
Rus, C., Yates, A., & de Rijke, M. (2024). A Study of Pre-processing Fairness Intervention Methods for Ranking People. In N. Goharian, N. Tonellotto, Y. He, A. Lipani, G. McDonald, C. Macdonald, & I. Ounis (Eds.), Advances in Information Retrieval: 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24–28, 2024 : proceedings (Vol. IV, pp. 336–350). (Lecture Notes in Computer Science; Vol. 14611). Springer. https://doi.org/10.1007/978-3-031-56066-8_26 -
Khandel, P., Yates, A., Varbanescu, A.-L., de Rijke, M., & Pimentel, A. (2024). Distillation vs. Sampling for Efficient Training of Learning to Rank Models. In ICTIR '24: Proceedings of the 2024 ACM SIGIR International Conference on the Theory of Information Retrieval : July 13, 2024 Washington, DC, USA (pp. 51-60). The Association for Computing Machinery. https://doi.org/10.1145/3664190.3672527 -
Nguyen, T., MacAvaney, S., & Yates, A. (2023). A Unified Framework for Learned Sparse Retrieval. In J. Kamps, L. Goeuriot, F. Crestani, M. Maistro, H. Joho, B. Davis, C. Gurrin, U. Kruschwitz, & A. Caputo (Eds.), Advances in Information Retrieval: 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2–6, 2023 : proceedings (Vol. III, pp. 101-116). (Lecture Notes in Computer Science; Vol. 13982). Springer. https://doi.org/10.48550/arXiv.2303.13416, https://doi.org/10.1007/978-3-031-28241-6_7 -
Nguyen, T., MacAvaney, S., & Yates, A. (2023). Adapting Learned Sparse Retrieval for Long Documents. In SIGIR '23: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 23-27, 2023, Taipei, Taiwan (pp. 1781-1785). Association for Computing Machinery. https://doi.org/10.1145/3539618.3591943
Page 3 of 5