Search results
Results: 7
Number of items: 7
-
Sidiropoulos, G., & Kanoulas, E. (2024). Improving the Robustness of Dense Retrievers Against Typos via Multi-Positive Contrastive Learning. 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. III, pp. 297–305). (Lecture Notes in Computer Science; Vol. 14610). Springer. https://doi.org/10.1007/978-3-031-56063-7_21 -
Sidiropoulos, G., Vakulenko, S., & Kanoulas, E. (2022). On the Impact of Speech Recognition Errors in Passage Retrieval for Spoken Question Answering. In CIKM '22: proceedings of the 31st ACM International Conference on Information & Knowledge Management : October 17-21, 2022, Atlanta, GA, USA (pp. 4485-4489). The Association for Computing Machinery. https://doi.org/10.1145/3511808.3557662 -
Bhargav, S., Sidiropoulos, G., & Kanoulas, E. (2022). 'It's on the Tip of My Tongue': A New Dataset for Known-Item Retrieval. In WSDM '22: Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining : February 21-25, 2022 : virtual event, Tempe, AZ, USA (pp. 48–56). Association for Computing Machinery. https://doi.org/10.1145/3488560.3498421 -
Sidiropoulos, G., & Kanoulas, E. (2022). Analysing the Robustness of Dual Encoders for Dense Retrieval Against Misspellings. In SIGIR '22: proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 11-15, 2022, Madrid, Spain (pp. 2132-2136). The Association for Computing Machinery. https://doi.org/10.1145/3477495.3531818 -
Jonk, P., de Vries, V., Wever, R., Sidiropoulos, G., & Kanoulas, E. (2022). Natural Language Processing of Aviation Occurrence Reports for Safety Management. In M. C. Leva, E. Patelli, L. Podofillini, & S. Wilson (Eds.), Proceedings of the 32nd European Safety and Reliability Conference (ESREL2022) (pp. 2015-2023). Research Publishing. https://doi.org/10.3850/978-981-18-5183-4_S05-06-449-cd -
Sidiropoulos, G., Voskarides, N., Vakulenko, S., & Kanoulas, E. (2021). Combining Lexical and Dense Retrieval for Computationally Efficient Multi-hop Question Answering. In Proceedings of SustaiNLP: 2nd Workshop on Simple and Efficient Natural Language Processing (SustaiNLP) : SustaiNLP 2021 (pp. 58–63). Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.sustainlp-1.7
Page of