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Results: 448
Number of items: 448
  • 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
    Azarbonyad, H. (2019). Exploratory search over semi-structured documents. [Thesis, fully internal, Universiteit van Amsterdam].
  • 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
    Dehghani, M., Azarbonyad, H., Kamps, J., & de Rijke, M. (2019). Learning to Transform, Combine, and Reason in Open-domain Question Answering. In WSDM'19: proceedings of the Twelfth ACM International Conference on Web Search and Data Mining : February 11-15, 2019 : Melbourne, Australia (pp. 681–689). Association for Computing Machinery. https://doi.org/10.1145/3289600.3291012
  • 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
  • Kamps, J., & Lalmas, M. (2018). Structure Weight. In L. Liu, & M. T. Özsu (Eds.), Encyclopedia of Database Systems (2nd ed., pp. 3821-3822). Springer. https://doi.org/10.1007/978-1-4614-8265-9_377
  • Kamps, J., & Lalmas, M. (2018). Relationships in Structured Text Retrieval. In L. Liu, & M. T. Özsu (Eds.), Encyclopedia of Database Systems (2nd ed., pp. 3154). Springer. https://doi.org/10.1007/978-1-4614-8265-9_127
  • Kamps, J. (2018). Indexing Units of Structured Text Retrieval. In L. Liu, & M. T. Özsu (Eds.), Encyclopedia of Database Systems (2nd ed., pp. 1907-1911). Springer. https://doi.org/10.1007/978-1-4614-8265-9_202
  • Kamps, J., & Lalmas, M. (2018). Term Statistics for Structured Text Retrieval. In L. Liu, & M. T. Özsu (Eds.), Encyclopedia of Database Systems (2nd ed., pp. 4055-4056). Springer. https://doi.org/10.1007/978-1-4614-8265-9_412
  • Open Access
    Zamani, H., Dehghani, M., Croft, W. B., Learned-Miller, E., & Kamps, J. (2018). From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing. In M. Atzmueller, & W. Duivesteijn (Eds.), 30th Benelux Conference on Artificial Intelligence: BNAIC 2018 Preproceedings : November 8-9, 2018, Jheronimus Academy of Data Science (JADS), 's-Hertogenbosch, The Netherlands (pp. 43-44). (BNAIC; Vol. 30). Jheronimus Academy of Data Science.
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