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Results: 1,032
Number of items: 1,032
  • Open Access
    Zhang, Y., Ren, P., & de Rijke, M. (2020). Detecting and Classifying Malevolent Dialogue Responses: Taxonomy, Data and Methodology. (v1 ed.) https://arxiv.org/abs/2008.09706
  • Open Access
    Wang, S., Ren, P., Chen, Z., Ren, Z., Nie, J.-Y., Ma, J., & de Rijke, M. (2020). Coding Electronic Health Records with Adversarial Reinforcement Path Generation. In SIGIR '20: proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval : July 25-30, 2020, virtual event, China (pp. 801–810). Association for Computing Machinery. https://doi.org/10.1145/3397271.3401135
  • Open Access
    Oosterhuis, H., Jagerman, R., & de Rijke, M. (2020). Unbiased Learning to Rank: Counterfactual and Online Approaches. In The Web Conference 2020: companion of the World Wide Web Conference WWW 2020 : Taipei 2020 : April 20-24, 2020, Taipei, Taiwan (pp. 299-300). International World Wide Web Conference Committee. https://doi.org/10.1145/3366424.3383107
  • Open Access
    Li, Z., Kiseleva, J., & de Rijke, M. (2020). Rethinking Supervised Learning and Reinforcement Learning in Task-Oriented Dialogue Systems. In T. Cohn, Y. He, & Y. Liu (Eds.), Findings of the Association for Computational Linguistics. Findings of ACL: EMNLP 2020: 16-20 November, 2020 (pp. 3537–3546). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2020.findings-emnlp.316
  • Open Access
    Wu, C., Kanoulas, E., & de Rijke, M. (2020). It All Starts with Entities: A Salient Entity Topic Model. Natural Language Engineering, 26(5), 531-549. https://doi.org/10.1017/S1351324919000585
  • Open Access
    Vardasbi, A., de Rijke, M., & Markov, I. (2020). Cascade Model-based Propensity Estimation for Counterfactual Learning to Rank. In SIGIR '20: proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval : July 25-30, 2020, virtual event, China (pp. 2089-2092). Association for Computing Machinery. https://doi.org/10.1145/3397271.3401299
  • Open Access
    Pan, Z., Cai, F., Chen, W., Chen, H., & de Rijke, M. (2020). Star Graph Neural Networks for Session-based Recommendation. In CIKM '20: proceedings of the 29th ACM International Conference on Information & Knowledge Management : October 19-23, 2020, Virtual Event, Ireland (pp. 1195–1204). The Association for Computing Machinery. https://doi.org/10.1145/3340531.3412014
  • Open Access
    Meng, C., Ren, P., Chen, Z., Sun, W., Ren, Z., Tu, Z., & de Rijke, M. (2020). DukeNet: A Dual Knowledge Interaction Network for Knowledge-Grounded Conversation. In SIGIR '20: proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval : July 25-30, 2020, virtual event, China (pp. 1151–1160). Association for Computing Machinery. https://doi.org/10.1145/3397271.3401097
  • Open Access
    Tsagkias, M., King, T. H., Kallumadi, S., Murdock, V., & de Rijke, M. (2020). Challenges and Research Opportunities in eCommerce Search and Recommendations. SIGIR Forum, 54(1), Article 2. https://doi.org/10.1145/3451964.3451966
  • Open Access
    Bleeker, M., & de Rijke, M. (2020). Bidirectional Scene Text Recognition with a Single Decoder. In G. De Giacomo, A. Catala, B. Dilkina, M. Milano, S. Barro, A. Bugarín, & J. Lang (Eds.), ECAI 2020: 24th European Conference on Artificial Intelligence : 29 August-8 September 2020, Santiago de Compostela, Spain, including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020) : proceedings (pp. 2664–2671). (Frontiers in Artificial Intelligence and Applications; Vol. 325). IOS Press. https://doi.org/10.3233/FAIA200404
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