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Results: 130
Number of items: 130
  • Open Access
    Sidiropoulos, G. (2025). Improving the robustness and effectiveness of neural retrievers in noisy and low-resource settings. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Pal, V. (2025). Information seeking over semi-structured tabular data. [Thesis, fully internal, Universiteit van Amsterdam].
  • Bhargav, S., Arguello, J., Diaz, F., Mitra, B., & Kanoulas, E. (2024, August 23). TREC-ToT 2024 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.13367366
  • Bhargav, S., Arguello, J., Diaz, F., Mitra, B., & Kanoulas, E. D. (2024, August 25). TREC-ToT 2024 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.13370657
  • Bhargav, S., Arguello, J., Diaz, F., Mitra, B., & Kanoulas, E. (2024, May 13). TREC-ToT 2024 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.11185090
  • Open Access
    Krasakis, A. M., Yates, A., & Kanoulas, E. (2024). Contextualizing and Expanding Conversational Queries without Supervision. ACM Transactions on Information Systems, 42(3), Article 77. https://doi.org/10.1145/3632622
  • Open Access
    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
  • Open Access
    Khan, O. S., Zhu, H., Sharma, U., Kanoulas, E., Rudinac, S., & Jónsson, B. Þ. (2024). Exquisitor at the Video Browser Showdown 2024: Relevance Feedback Meets Conversational Search. In S. Rudinac, A. Hanjalic, C. Liem, M. Worring, B. Þ. Jónsson, B. Liu, & Y. Yamakata (Eds.), MultiMedia Modeling: 30th International Conference, MMM 2024, Amsterdam, The Netherlands, January 29-February 2, 2024 : proceedings (Vol. IV, pp. 347–355). (Lecture Notes in Computer Science; Vol. 14557). Springer. https://doi.org/10.1007/978-3-031-53302-0_31
  • Open Access
    Zhu, H., Huang, J.-H., Rudinac, S., & Kanoulas, E. (2024). Enhancing Interactive Image Retrieval With Query Rewriting Using Large Language Models and Vision Language Models. In Proceedings of the 14th Annual ACM International Conference on Multimedia Retrieval (ICMR'24): Phuket, Thailand, June 10-14, 2024 (pp. 978-987). Association for Computing Machinery. https://doi.org/10.1145/3652583.3658032
  • Open Access
    Capurro, C., Provatorova, V., Hendriksen, M., Kanoulas, E., & Dupré, S. (2024). Digital Art Technical Sources for the Netherlands: Integration and Improvement of Sources on Glass for a Sustainable Future – Art DATIS. In B. R. Haverkort, A. de Jongste, P. van Kuilenburg, & R. D. Vromans (Eds.), Commit2Data Article 9 (OpenAccess Series in Informatics; Vol. 124). Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/OASIcs.Commit2Data.9
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