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Institute for Logic, Language and Computation

Searchable List of Research Output

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  • 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.
    Conference contribution | https://arxiv.org/abs/1707.07605 | UvA-DARE
  • Dehghani, M., Azarbonyad, H., Kamps, J., de Rijke, M. (2019) Learning to Transform, Combine, and Reason in Open-Domain Question Answering.
    In Beuls, K. Bogaerts, B. Bontempi, G. Geurts, P. Harley, N. Lebichot, B. Lenaerts, T. Louppe, G. Van Eecke, P. (Eds.), Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019): Brussels, Belgium, November 6-8, 2019 (CEUR Workshop Proceedings, Vol. 2491). CEUR-WS.
  • Dehghani, M., Azarbonyad, H., Kamps, J., de Rijke, M. (2019) Learning to Transform, Combine, and Reason in Open-domain Question Answering.
    In WSDM'19: proceedings of the Twelfth ACM International Conference on Web Search and Data Mining : February 11-15, 2019 : Melbourne, Australia (pp 681–689). Association for Computing Machinery.
  • 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.
  • Dehghani, M., Azarbonyad, H., Kamps, J., Hiemstra, D., Marx, M. (2016) Inoculating Relevance Feedback Against Poison Pills.
    Abstract | UvA-DARE
  • Dehghani, M., Azarbonyad, H., Kamps, J., Marx, M. (2016) On Horizontal and Vertical Separation in Hierarchical Text Classification.
    In ICTIR'16: proceedings of the 2016 ACM International Conference on the Theory of Information Retrieval : September 12-16, 2016, Newark, Delaware, USA (pp 185-194). Association for Computing Machinery.
  • Dehghani, M., Azarbonyad, H., Kamps, J., Marx, M. (2016) Two-Way Parsimonious Classification Models for Evolving Hierarchies.
    In Fuhr, N. Quaresma, P. Gonçalves, T. Larsen, B. Balog, K. Macdonald, C. Cappellato, L. Ferro, N. (Eds.), Experimental IR Meets Multilinguality, Multimodality, and Interaction: 7th International Conference of the CLEF Association, CLEF 2016, Évora, Portugal, September 5-8, 2016: proceedings (pp 69-82) (Lecture Notes in Computer Science, Vol. 9822). Springer.
  • Dehghani, M., Azarbonyad, H., Kamps, J., Marx, M. (2016) UvA-ExPoSe at TREC 2016: Contextual Suggestion Track.
  • Dehghani, M., Azarbonyad, H., Kamps, J., Marx, M. (2016) Hierarchical Text Classification Based on Separation in the Data or Feature Space.
    Abstract | UvA-DARE
  • Dehghani, M., Azarbonyad, H., Kamps, J., Marx, M. (2017) Significant Words Language Models for Contextual Suggestion.
    In Voorhees, E.M. Ellis, A. (Eds.), The Twenty-Fifth Text REtrieval Conference (TREC 2016) Proceedings (NIST Special Publication). National Institute of Standards and Technology.
  • Dehghani, M., Azarbonyad, H., Marx, M., Kamps, J. (2015) Learning to Combine Sources of Evidence for Indexing Political Texts: extended abstract.
  • Dehghani, M., Azarbonyad, H., Marx, M., Kamps, J. (2015) Sources of evidence for automatic indexing of political texts.
    In Hanbury, A. Kazai, G. Rauber, A. Fuhr, N. (Eds.), Advances in Information Retrieval: 37th European Conference on IR Research, ECIR 2015, Vienna, Austria, March 29-April 2, 2015 : proceedings (pp 568-573) (Lecture Notes in Computer Science, Vol. 9022). Springer.
  • 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.
  • Dehghani, M., Jagfeld, G., Azarbonyad, H., Olieman, A., Kamps, J., Marx, M. (2017) Telling How to Narrow it Down: Browsing Path Recommendation for Exploratory Search.
    In CHIIR'17: proceedings of the 2017 Conference Human Information Interaction and Retrieval : March 7-11, 2017, Oslo, Norway (pp 369-372). The Association for Computing Machinery.
  • Dehghani, M., Kamps, J. (2018) Learning to Rank from Samples of Variable Quality.
    In The First International Workshop on Learning from Limited or Noisy Data for Information Retrieval: July 12th, 2018, Ann Arbor, Michigan, USA, co-located with SIGIR 2018. Accepted papers . ArXiv.
  • Dehghani, M., Mehrjou, Arash, Gouws, Stephan, Kamps, J., Schölkopf, Bernhard (2019) Learning from Samples of Variable Quality.
    In Learning from Limited Labeled Data: ICLR 2019 Workshop . OpenReview.
  • Dehghani, M., Rothe, S., Alfonseca , E., Fleury, P. (2017) Learning to Attend, Copy, and Generate for Session-Based Query Suggestion.
    In CIKM'17 : proceedings of the 2017 ACM on Conference on Information and Knowledge Management: November 6-10, 2017, Singapore, Singapore (pp 1747-1756). Association for Computing Machinery.
  • Dehghani, M., Severyn, A., Rothe, S., Kamps, J. (2017) Learning to Learn from Weak Supervision by Full Supervision.
  • Dehghani, M., Zamani, H., Severyn, A., Kamps, J., Croft, W.B. (2017) Neural Ranking Models with Weak Supervision.
  • Dehghani, M., Zamani, H., Severyn, A., Kamps, J., Croft, W.B. (2017) Neural Ranking Models with Weak Supervision.
    In Verheij, B. Wiering, M. (Eds.), BNAIC 2017: Benelux Conference on Artificial Intelligence: Preproceedings of the 29th Benelux Conference on Artificial Intelligence, November 8–9, 2017 in Groningen, The Netherlands (pp 372-373) (BNAIC, Vol. 29). University of Groningen.
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