Searchable List of Research Output

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  • 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) 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., 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., 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 (2018) Fidelity-Weighted Learning.
    In International Conference on Learning Representations (ICLR). OpenReview.
  • 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.
  • 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.
  • Dehghani, M. (2016) Significant Words Representations of Entities.
    In SIGIR'16: the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval: Pisa, Italy , July 17-21, 2016 (pp 1183). Association for Computing Machinery.
  • Dehghani, M. (2020) Learning with imperfect supervision for language understanding.
    Institute for Logic, Language and Computation.
    Thesis, fully internal | UvA-DARE
  • Dekker, M., Kloibhofer, J., Marti, J., Venema, Y. (2023) Proof Systems for the Modal μ-Calculus Obtained by Determinizing Automata.
    In Ramanayake, R. Urban, J. (Eds.), Automated Reasoning with Analytic Tableaux and Related Methods: 32nd International Conference, TABLEAUX 2023, Prague, Czech Republic, September 18–21, 2023 : proceedings (pp 242-259) (Lecture Notes in Computer Science
    Lecture Notes in Artificial Intelligence, Vol. 14278). Springer.
  • Dekker, P., Zuidema, W. (2020) Word prediction in computational historical linguistics.
    Journal of Language Modelling, Vol. 8 (pp 295-336)
  • Dekker, P.J.E., Aloni, M., Butler, A.J. (2007) The semantics and pragmatics of questions.
    In Aloni, M. Butler, A. Dekker, P. (Eds.), Questions in dynamic semantics (pp 1-40) (Current research in the semantics/pragmatics interface). Elsevier.
    Chapter | UvA-DARE
  • Dekker, P.J.E., Aloni, M., Groenendijk, J. (2016) Questions.
    In Aloni, M. Dekker, P. (Eds.), The Cambridge Handbook of Formal Semantics (pp 560-592) (Cambridge Handbooks in Language and Linguistics). Cambridge University Press.
  • Dekker, P.J.E., Franke, M. (2005) Proceedings of the Fifteenth Amsterdam Colloquium.
    ILLC / Department of Philosophy, University of Amsterdam.
    Book (Editorship) | UvA-DARE

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