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Results: 134
Number of items: 134
  • Open Access
    Askari, A., Aliannejadi, M., Kanoulas, E., & Verberne, S. (2023). A Test Collection of Synthetic Documents for Training Rankers: ChatGPT vs. Human Experts. In CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management : October 21-25, 2023, Birmingham, England (pp. 5311-5315). Association for Computing Machinery. https://doi.org/10.1145/3583780.3615111
  • Open Access
    Ghasemi, N., Aliannejadi, M., Bonab, H., Kanoulas, E., de Vries, A. P., Allan, J., & Hiemstra, D. (2023). Cross-Market Product-Related Question Answering. 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. 1293-1302). Association for Computing Machinery. https://doi.org/10.1145/3539618.3591658
  • Open Access
    Bhargav, S., Aliannejadi, M., & Kanoulas, E. (2023). Market-Aware Models for Efficient Cross-Market Recommendation. 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. I, pp. 134-149). (Lecture Notes in Computer Science; Vol. 13980). Springer. https://doi.org/10.1007/978-3-031-28244-7_9
  • Open Access
    Pal, V., Yates, A., Kanoulas, E., & de Rijke, M. (2023). MultiTabQA: Generating Tabular Answers for Multi-Table Question Answering. In A. Rogers, J. Boyd-Graber, & N. Okazaki (Eds.), The 61st Conference of the Association for Computational Linguistics: Proceedings of the Conference : ACL 2023 : July 9-14, 2023 (Vol. 1, pp. 6322–6334). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.acl-long.348
  • Open Access
    Kobayashi, V. B. (2023). Text analytics applications in job analysis and career research. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Capurro, C., Provatorova, V., & Kanoulas, E. (2023). Experimenting with Training a Neural Network in Transkribus to Recognise Text in a Multilingual and Multi-Authored Manuscript Collection. Heritage, 6(12), 7482-7494. https://doi.org/10.3390/heritage6120392
  • Open Access
    Zou, J., Aliannejadi, M., Kanoulas, E., Pera, M. S., & Liu, Y. (2023). Users Meet Clarifying Questions: Toward a Better Understanding of User Interactions for Search Clarification. ACM Transactions on Information Systems, 41(1), Article 16. https://doi.org/10.1145/3524110
  • Open Access
    Molinari, A., & Kanoulas, E. (2022). Transferring Knowledge between Topics in Systematic Reviews. Intelligent Systems with Applications, 16, Article 200150. https://doi.org/10.1016/j.iswa.2022.200150
  • Open Access
    Azzopardi, L., Aliannejadi, M., & Kanoulas, E. (2022). Towards Building Economic Models of Conversational Search. In M. Hagen, S. Verberne, C. Macdonald, C. Seifert, K. Balog, K. Nørvåg, & V. Setty (Eds.), Advances in Information Retrieval: 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10–14, 2022 : proceedings (Vol. II, pp. 31-38). (Lecture Notes in Computer Science; Vol. 13186). Springer. https://doi.org/10.1007/978-3-030-99739-7_4
  • Rossi, J., Kanoulas, E., & Leivaditi, S. (2022, May 31). ALeaseBert [Data set]. Universiteit van Amsterdam. https://doi.org/10.21942/uva.19732993.v1
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