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Results: 134
Number of items: 134
  • 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
    Zou, J., Chen, Y., & Kanoulas, E. (2020). Towards Question-based Recommender Systems. 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. 881-890). Association for Computing Machinery. https://doi.org/10.1145/3397271.3401180
  • 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
    Wu, C., Kanoulas, E., de Rijke, M., & Lu, W. (2020). WN-Salience: A Corpus of News Articles with Entity Salience Annotations. In N. Calzolari, F. Béchet, P. Blache, K. Choukri, C. Cieri, T. Declerck, S. Goggi, H. Isahara, B. Maegaard, J. Mariani, H. Mazo, A. Moreno, J. Odijk, & S. Piperidis (Eds.), LREC 2020: Twelfth International Conference on Language Resources and Evaluation : May 11-16, 2020, Palais du Pharo, Marseille, France : conference proceedings (pp. 2095-2102). The European Language Resources Association. https://www.aclweb.org/anthology/2020.lrec-1.257
  • Open Access
    Krasakis, A. M., Aliannejadi, M., Voskarides, N., & Kanoulas, E. (2020). Analysing the Effect of Clarifying Questions on Document Ranking in Conversational Search. In ICTIR'20: proceedings of the 2020 ACM SIGIR International Conference on Theory of Information Retrieval : September 14-17, 2020, Virtual Event, Norway (pp. 129-132). The Association for Computing Machinery. https://doi.org/10.1145/3409256.3409817
  • Open Access
    Li, D., & Kanoulas, E. (2020). When to Stop Reviewing in Technology-Assisted Reviews: Sampling from an Adaptive Distribution to Estimate Residual Relevant Documents. ACM Transactions on Information Systems, 38(4), Article 41. https://doi.org/10.1145/3411755
  • Open Access
    Zou, J., Kanoulas, E., & Liu, Y. (2020). An Empirical Study on Clarifying Question-Based Systems. In CIKM '20: proceedings of the 29th ACM International Conference on Information & Knowledge Management : October 19-23, 2020, Virtual Event, Ireland (pp. 2361-2364). The Association for Computing Machinery. https://doi.org/10.1145/3340531.3412094
  • Open Access
    Li, D., Zafeiriadis, P., & Kanoulas, E. (2020). APS: An Active PubMed Search System for Technology Assisted Reviews. 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. 2137-2140). Association for Computing Machinery. https://doi.org/10.1145/3397271.3401401
  • Open Access
    Oosterhuis, H. R. (2020). Learning from user interactions with rankings: A unification of the field. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Zou, J., & Kanoulas, E. (2020). Towards Question-based High-recall Information Retrieval: Locating the Last Few Relevant Documents for Technology-assisted Reviews. ACM Transactions on Information Systems, 38(3), Article 27. https://doi.org/10.1145/3388640
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