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Results: 1,032
Number of items: 1,032
  • Open Access
    Dakwale, P. (2020). Strategies for effective utilization of training data for machine translation. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Wu, C., Kanoulas, E., & de Rijke, M. (2020). Learning entity-centric document representations using an entity facet topic model. Information Processing and Management, 57(3), Article 102216. https://doi.org/10.1016/j.ipm.2020.102216
  • 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
    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
    Huang, J., Oosterhuis, H., de Rijke, M., & van Hoof, H. (2020). Keeping Dataset Biases out of the Simulation: A Debiased Simulator for Reinforcement Learning based Recommender Systems. In RECSYS 2020: 14th ACM Conference on Recommender Systems : Virtual Event, Brazil, September 22-26, 2020 (pp. 190–199). The Association for Computing Machinery. https://doi.org/10.1145/3383313.3412252
  • 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
    Lin, Y., Ren, P., Chen, Z., Ren, Z., Yu, D., Ma, J., de Rijke, M., & Cheng, X. (2020). Meta Matrix Factorization for Federated Rating Predictions. 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. 981–990). Association for Computing Machinery. https://doi.org/10.1145/3397271.3401081
  • Open Access
    Li, Z., Lee, S., Peng, B., Li, J., Kiseleva, J., de Rijke, M., Shayandeh, S., & Gao, J. (2020). Guided Dialogue Policy Learning without Adversarial Learning in the Loop. 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. 2308–2317). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2020.findings-emnlp.209
  • Open Access
    ter Hoeve, M., Sim, R., Nouri, E., Fourney, A., de Rijke, M., & White, R. W. (2020). Conversations with Documents: An Exploration of Document-Centered Assistance. In CHIIR '20: proceedings of the 2020 Conference on Human Information Interaction and Retrieval : March 14-18, 2020, Vancouver, BC, Canada (pp. 43-52). The Association for Computing Machinery. https://doi.org/10.1145/3343413.3377971
  • Open Access
    Vakulenko, S., Savenko, V., & de Rijke, M. (2020). Conversational Browsing. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.2012.03704
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