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Results: 1,032
Number of items: 1,032
  • Open Access
    Baan, J., ter Hoeve, M., van der Wees, M., Schuth, A., & de Rijke, M. (2019). Do Transformer Attention Heads Provide Transparency in Abstractive Summarization? In Proceedings of FACTS-IR 2019 ArXiv. https://arxiv.org/abs/1907.00570
  • Open Access
    Baan, J., ter Hoeve, M., van der Wees, M., Schuth, A., & de Rijke, M. (2019). Understanding Multi-Head Attention in Abstractive Summarization. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.1911.03898
  • Oosterhuis, H., & de Rijke, M. (2018). Ranking for Relevance and Display Preferences in Complex Presentation Layouts. In SIGIR #41 proceedings: Ann Arbor, Michigan, USA, 08-12, July 2018 (pp. 845-854). Association for Computing Machinery. https://doi.org/10.1145/3209978.3209992
  • Oosterhuis, H., & de Rijke, M. (2018). Differentiable Unbiased Online Learning to Rank. In CIKM'18: proceedings of the 2018 ACM International Conference on Information and Knowledge Management : October 22-26, 2018, Torino, Italy (pp. 1293-1302). The Association for Computing Machinery. https://doi.org/10.1145/3269206.3271686
  • Oosterhuis, H., Culpepper, J. S., & de Rijke, M. (2018). The Potential of Learned Index Structures for Index Compression. In B. Koopman, A. Trotman, & P. Thomas (Eds.), ADCS 2018: proceedings of the 23rd Australasian Document Computing Symposium : Dunedin, New Zealand, December 11-12, 2018 Article 7 ACM. https://doi.org/10.1145/3291992.3291993
  • Ren, P., Chen, Z., Ren, Z., Wei, F., Nie, L., Ma, J., & de Rijke, M. (2018). Sentence relations for extractive summarization with deep neural networks. ACM Transactions on Information Systems, 36(4), Article 39. https://doi.org/10.1145/3200864
  • Voskarides, N., Meij, E., Reinanda, R., Khaitan, A., Osborne, M., Stefanoni, G., Kambadur, P., & de Rijke, M. (2018). Weakly-supervised contextualization of knowledge graph facts. In SIGIR #41 proceedings : Ann Arbor, Michigan, USA, 08-12, July 2018 (pp. 765-774). Association for Computing Machinery. https://doi.org/10.1145/3209978.3210031
  • Borisov, A., Wardenaar, M., Markov, I., & de Rijke, M. (2018). A Click Sequence Model for Web Search. In SIGIR #41 proceedings : Ann Arbor, Michigan, USA, 08-12, July 2018 (pp. 45-54). Association for Computing Machinery. https://doi.org/10.1145/3209978.3210004
  • Borisov, A., Kiseleva, J., Markov, I., & de Rijke, M. (2018). Calibration: A Simple Way to Improve Click Models. In CIKM'18: proceedings of the 2018 ACM International Conference on Information and Knowledge Management : October 22-26, 2018, Torino, Italy (pp. 1503-1506). The Association for Computing Machinery. https://doi.org/10.1145/3269206.3269260
  • Xie, X., Liu, Y., de Rijke, M., He, J., Zhang, M., & Ma, S. (2018). Why people search for images using web search engines. In WSDM'18: proceedings of the Eleventh ACM International Conference on Web Search and Data Mining : February 5-9, 2018, Marina Del Rey, CA, USA (pp. 655-663). Association for Computing Machinery. https://doi.org/10.1145/3159652.3159686
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