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Results: 30
Number of items: 30
  • Open Access
    Aliannejadi, M., Kiseleva, J., Chuklin, A., Dalton, J., & Burtsev, M. (2020). ConvAI3: Generating Clarifying Questions for Open-Domain Dialogue Systems (ClariQ). ( v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.2009.11352
  • Li, Z., Kiseleva, J., & de Rijke, M. (2019). Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning. In Thirty-Third AAAI Conference on Artificial Intelligence, Thirty-First Conference on Innovative Applications of Artificial Intelligence, The Ninth Symposium on Educational Advances in Artificial Intelligence: AAAI-19, IAAI-19, EAAI-20 : January 27-February 1, 2019, Hilton Hawaiian Village, Honolulu, Hawaii, USA (pp. 6722-6729). (Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 33). AAAI Press. https://doi.org/10.1609/aaai.v33i01.33016722
  • Open Access
    Pei, J., Stienstra, A., Kiseleva, Y., & de Rijke, M. (2019). SEntNet: Source-aware Recurrent Entity Network for Dialogue Response Selection. Paper presented at 4th International Workshop on Search-Oriented Conversational AI (SCAI), Macao, China. https://arxiv.org/abs/1906.06788
  • Open Access
    Sepliarskaia, A., Kiseleva, J., & de Rijke, M. (2019). Evaluating Disentangled Representations. (v1 ed.) ArXiv. https://arxiv.org/abs/1910.05587
  • 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
  • Open Access
    Sepliarskaia, A., Kiseleva, J., Radlinski, F., & de Rijke, M. (2018). Preference Elicitation as an Optimization Problem. In 12th ACM Conference on Recommender Systems: October 2-7, 2018 : RECSYS : Vancouver, BC : 2018 (pp. 172-180). Association for Computing Machinery. https://doi.org/10.1145/3240323.3240352
  • Open Access
    Grotov, A. (2018). Optimizing web search engines with interactions. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Li, Z., Kiseleva, J., de Rijke, M., & Grotov, A. (2017). Towards learning reward functions from user interactions. In ICTIR'17: proceedings of the 2017 ACM SIGIR International Conference on the Theory of Information Retrieval: October 1-4, 2017, Amsterdam, the Netherlands (pp. 289-292). Association for Computing Machinery. https://doi.org/10.1145/3121050.3121098
  • Open Access
    Braslavski, P., Kamps, J., Kiseleva, J., & Halperin, A. (2017). Report on the 11th Russian Summer School in Information Retrieval (RuSSIR 2017): summer school report. SIGIR Forum, 51(3), 94-98. https://doi.org/10.1145/3190580.3190594
  • Open Access
    Hashemi, S. H., Clarke, C. L. A., Kamps, J., Kiseleva, J., & Voorhees, E. M. (2017). Overview of the TREC 2016 Contextual Suggestion Track. In E. M. Voorhees, & A. Ellis (Eds.), The Twenty-Fifth Text REtrieval Conference (TREC 2016) Proceedings (NIST Special Publication; No. SP 500-312). National Institute of Standards and Technology. https://trec.nist.gov/pubs/trec25/papers/Overview-CS.pdf
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