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Results: 448
Number of items: 448
  • Open Access
    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
  • Open Access
    Rau, D., & Kamps, J. (2020). University of Amsterdam at TREC 2020: Deep Learning Track. Paper presented at Twenty-Ninth Text REtrieval Conference, Online.
  • Open Access
    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
  • Open Access
    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
  • Open Access
    Dehghani, M. (2020). Learning with imperfect supervision for language understanding. [Thesis, fully internal, Universiteit van Amsterdam]. Institute for Logic, Language and Computation.
  • Open Access
    Kerkvliet, L., Kamps, J., & Marx, M. (2020). Who mentions whom? Recognizing political actors in proceedings. In D. Fišer, M. Eskevich, & F. de Jong (Eds.), Creating, Using and Linking of Parliamentary Corpora with Other Types of Political Discourse (ParlaCLARIN II): proceedings : LREC 2020 workshop : Language Resources and Evaluation Conference : 11-16 May 2020 (pp. 35-39). European Language Resources Association. https://aclanthology.org/2020.parlaclarin-1.7
  • Open Access
    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
  • Open Access
    Azarbonyad, H., Dehghani, M., Kenter, T., Marx, M., Kamps, J., & de Rijke, M. (2019). HiTR: Hierarchical Topic Model Re-estimation for Measuring Topical Diversity of Documents. IEEE Transactions on Knowledge and Data Engineering, 31(11), 2124-2137 . https://doi.org/10.1109/TKDE.2018.2874246
  • Open Access
    Bhargav, S., van Noord, N., & Kamps, J. (2019). Deep learning as a tool for early cinema analysis. In SUMAC '19: proceedings of the 1st Workshop on Structuring and Understanding of Multimedia Heritage Contents : October 21, 2019, Nice, France (pp. 61-68). The Association for Computing Machinery. https://doi.org/10.1145/3347317.3357240
  • Open Access
    Shahshahani, M. S., Kamps, J., & Marx, M. (2019). University of Amsterdam at TREC 2019: Complex Answer Retrieval Track. In E. M. Voorhees, & A. Ellis (Eds.), The Twenty-Eighth Text REtrieval Conference (TREC 2019) Proceedings (NIST Special Publication; No. SP 1250). National Institute of Standards and Technology. https://trec.nist.gov/pubs/trec28/papers/UAmsterdam.CAR.pdf
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