Search results
Results: 448
Number of items: 448
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Shahshahani, M. S., & Kamps, J. (2020). University of Amsterdam at CLEF 2020: Notebook for the Touché Lab on Argument Retrieval at CLEF 2020. In L. Cappellato, C. Eickhoff, N. Ferro, & A. Névéol (Eds.), Working Notes of CLEF 2020 - Conference and Labs of the Evaluation Forum: Thessaloniki, Greece, September 22-25, 2020 (CEUR Workshop Proceedings; Vol. 2696). CEUR-WS. http://ceur-ws.org/Vol-2696/paper_207.pdf -
Huurdeman, H. C., & Kamps, J. (2020). Designing Multistage Search Systems to Support the Information Seeking Process. In W. T. Fu, & H. van Oostendorp (Eds.), Understanding and Improving Information Search: A Cognitive Approach (pp. 113-137). (Human–Computer Interaction Series). Springer. https://doi.org/10.1007/978-3-030-38825-6_7 -
Shahshahani, M. S., & Kamps, J. (2020). Argument Retrieval from Web. In A. Arampatzis, E. Kanoulas, T. Tsikrika, S. Vrochidis, H. Joho, C. Lioma, C. Eickhoff, A. Névéol, L. Cappellato, & N. Ferro (Eds.), Experimental IR Meets Multilinguality, Multimodality, and Interaction: 11th International Conference of the CLEF Association, CLEF 2020, Thessaloniki, Greece, September 22–25, 2020 : proceedings (pp. 75-81). (Lecture Notes in Computer Science; Vol. 12260). Springer. https://doi.org/10.1007/978-3-030-58219-7_7 -
Tsakonas, G., & Kamps, J. (2020). Current research on theory and practice of digital libraries: Best papers from TPDL 2017. International Journal on Digital Libraries, 21(1), 1-3. https://doi.org/10.1007/s00799-020-00278-4 -
Kamps, J., Koolen, M., Geva, S., Schenkel, R., SanJuan, E., & Bogers, T. (2019). From XML Retrieval to Semantic Search and Beyond: The INEX, SBS, and MC2 Labs of CLEF 2012-2018. In N. Ferro, & C. Peters (Eds.), Information Retrieval Evaluation in a Changing World: Lessons Learned from 20 Years of CLEF (pp. 415-437). (The Information Retrieval Series; Vol. 41). Springer. https://doi.org/10.1007/978-3-030-22948-1_17 -
Dehghani, M., Mehrjou, A., Gouws, S., Kamps, J., & Schölkopf, B. (2019). Learning from Samples of Variable Quality. In Learning from Limited Labeled Data: ICLR 2019 Workshop OpenReview. https://openreview.net/forum?id=SkxwBgpmDE -
Dehghani, M., Azarbonyad, H., Kamps, J., & de Rijke, M. (2019). Learning to Transform, Combine, and Reason in Open-Domain Question Answering. In K. Beuls, B. Bogaerts, G. Bontempi, P. Geurts, N. Harley, B. Lebichot, T. Lenaerts, G. Louppe, & P. Van Eecke (Eds.), Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019): Brussels, Belgium, November 6-8, 2019 Article 16 (CEUR Workshop Proceedings; Vol. 2491). CEUR-WS. http://ceur-ws.org/Vol-2491/abstract16.pdf
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