Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 44
Number of items: 44
  • Open Access
    Dehghani, M., Azarbonyad, H., Kamps, J., & de Rijke, M. (2017). Share your Model instead of your Data: Privacy Preserving Mimic Learning for Ranking. In Neu-IR: Workshop on Neural Information Retrieval: accepted papers ArXiv. https://arxiv.org/abs/1707.07605
  • Open Access
    Dehghani, M., Zamani, H., Severyn, A., Kamps, J., & Croft, W. B. (2017). Neural Ranking Models with Weak Supervision. In SIGIR'17 : proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval: August 7-11, 2017, Shinjuku, Tokyo, Japan (pp. 65-74). Association for Computing Machinery. https://doi.org/10.1145/3077136.3080832
  • Open Access
    Azarbonyad, H., Dehghani, M., Beelen, K., Arkut, A., Marx, M., & Kamps, J. (2017). Words are Malleable: Computing Semantic Shifts in Political and Media Discourse. Abstract from 16th Dutch-Belgian Information Retrieval Workshop, Hilversum, Netherlands. https://marijnkoolen.github.io/dir2017/accepted-submissions/DIR2017_paper_10.pdf
  • Open Access
    Dehghani, M., Azarbonyad, H., Kamps, J., & Marx, M. (2017). Significant Words Language Models for Contextual Suggestion. 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/ExPoSe-CX.pdf
  • Open Access
    Azarbonyad, H., Dehghani, M., Kenter, T., Marx, M., Kamps, J., & de Rijke, M. (2017). Hierarchical Re-estimation of Topic Models for Measuring Topical Diversity. In J. M. Jose, C. Hauff, I. S. Altıngovde, D. Song, D. Albakour, S. Watt, & J. Tait (Eds.), Advances in Information Retrieval: 39th European Conference on IR Research, ECIR 2017, Aberdeen, UK, April 8–13, 2017 : proceedings (pp. 68-81). (Lecture Notes in Computer Science; Vol. 10193). Springer. https://doi.org/10.1007/978-3-319-56608-5_6
  • Open Access
    Azarbonyad, H., Dehghani, M., Beelen, K., Arkut, A., Marx, M., & Kamps, J. (2017). Words are Malleable: Computing Semantic Shifts in Political and Media Discourse. In CIKM'17 : proceedings of the 2017 ACM on Conference on Information and Knowledge Management: November 6-10, 2017, Singapore, Singapore (pp. 1509-1518). Association for Computing Machinery. https://doi.org/10.1145/3132847.3132878
  • Open Access
    Dehghani, M., Jagfeld, G., Azarbonyad, H., Olieman, A., Kamps, J., & Marx, M. (2017). On Search Powered Navigation. 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. 317-320). Association for Computing Machinery. https://doi.org/10.1145/3121050.3121105
  • Open Access
    Dehghani, M., Azarbonyad, H., Kamps, J., Hiemstra, D., & Marx, M. (2016). Luhn revisited: Significant Words Language Models. In CIKM'16: proceedings of the 2016 ACM Conference on Information and Knowledge Management : October 24-28, 2016, Indianapolis, IN, USA (pp. 1301-1310). Association for Computing Machinery. https://doi.org/10.1145/2983323.2983814
  • Open Access
    Dehghani, M., Azarbonyad, H., Kamps, J., & Marx, M. (2016). UvA-ExPoSe at TREC 2016: Contextual Suggestion Track. Paper presented at The Twenty-Fifth Text REtrieval Conference (TREC 2016), Gaithersburg, Maryland, United States. https://e.humanities.uva.nl/publications/2016/dehg_expo16.pdf
  • Open Access
    Dehghani, M., Azarbonyad, H., Kamps, J., Hiemstra, D., & Marx, M. (2016). Inoculating Relevance Feedback Against Poison Pills. Abstract from 15th Dutch-Belgian Information Retrieval Workshop (DIR), Delft, Netherlands.
Page 3 of 5