Search results

    Filter results

  • Full text

  • Document type

  • Publication year

  • Organisation

Results: 134
Number of items: 134
  • Open Access
    Bhargav, S. (2024). Navigating uncertain waters in information retrieval: Adapting to domain shifts and complex information needs. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Abbasiantaeb, Z., Yuan, Y., Kanoulas, E., & Aliannejadi, M. (2024). Let the LLMs Talk: Simulating Human-to-Human Conversational QA via Zero-Shot LLM-to-LLM Interactions. In WSDM '24: Proceedings of the 17th ACM International Conference on Web Search and Data Mining : March 4-8, 2024, Merida, Mexico (pp. 8-17). Association for Computing Machinery. https://doi.org/10.1145/3616855.3635856
  • Open Access
    Huang, J.-H., Yang, C.-C., Shen, Y., Pacces, A. M., & Kanoulas, E. (2024). Optimizing Numerical Estimation and Operational Efficiency in the Legal Domain through Large Language Models. In CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management : October, 21-25. 2024, Boise, ID, USA (pp. 4554-4562). Association for Computing Machinery. https://doi.org/10.1145/3627673.3680025
  • Open Access
    Azzopardi, L., Clarke, C. L. A., Kantor, P., Mitra, B., Trippas, J. R., Ren, Z., Aliannejadi, M., Arabzadeh, N., Chandrasekar, R., de Rijke, M., Eustratiadis, P., Hersh, W., Huang, J., Kanoulas, E., Kareem, J., Li, Y., Lupart, S., Mekonnen, K. A., Roegiest, A., ... Zhao, Y. (2024). Report on the Search Futures Workshop at ECIR 2024. SIGIR Forum, 58(1). https://doi.org/10.1145/3687273.3687288
  • Open Access
    Cheirmpos, G., Tabatabaei, S. A., Kanoulas, E., & Tsatsaronis, G. (2024). Benchmarking Named Entity Recognition Approaches for Extracting Research Infrastructure Information from Text. In G. Nicosia, V. Ojha, E. La Malfa, G. La Malfa, P. M. Pardalos, & R. Umeton (Eds.), Machine Learning, Optimization, and Data Science: 9th International Conference, LOD 2023, Grasmere, UK, September 22–26, 2023 : revised selected papers (Vol. I, pp. 131–141). (Lecture Notes in Computer Science; Vol. 14505). Springer. https://doi.org/10.1007/978-3-031-53969-5_11
  • Arguello, J., Bhargav, S., Diaz, F., Kanoulas, E., & Mitra, B. (2023, May 18). TREC-ToT 2023 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.11104912
  • 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., Sun, A., Long, C., Aliannejadi, M., & Kanoulas, E. (2023). Asking Clarifying Questions: To benefit or to disturb users in Web search? Information Processing and Management, 60(2), Article 103176. https://doi.org/10.1016/j.ipm.2022.103176
  • Open Access
    Kobayashi, V. B. (2023). Text analytics applications in job analysis and career research. [Thesis, fully internal, Universiteit van Amsterdam].
  • 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
Page 4 of 14