dhr. M. (Mostafa Dehghani) Dehghani MA


  • Faculteit der Geesteswetenschappen
    Capaciteitsgroep Media & Cultuur
  • Bezoekadres
    BG 1
    Turfdraagsterpad 9  
  • Postadres:
    Turfdraagsterpad  9
    1012 XT  Amsterdam
  • M.Dehghani@uva.nl

2018

  • Torkzadeh mahani, N., Dehghani, M., Mirian, M. S., Shakery, A., & Taheri, K. (2018). Expert finding by the Dempster‐Shafer theory for evidence combination. Expert Systems, 35(1), [12231]. DOI: 10.1111/exsy.12231  [details] 

2017

  • 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'17: SIGIR 2017 Workshop on Neural Information Retrieval Association for Computing Machinery.
  • 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). New York, NY: Association for Computing Machinery. DOI: 10.1145/3132847.3132878  [details] 
  • 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 Proceedings of the 2017 ACM on Conference on Information and Knowledge Management (pp. 1509-1518). DOI: 10.1145/3132847.3132878  [details] 
  • 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). Cham: Springer. DOI: 10.1007/978-3-319-56608-5_6  [details] 
  • 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). New York, NY: Association for Computing Machinery. DOI: 10.1145/3121050.3121105  [details] 
  • 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). New York, NY: The Association for Computing Machinery. DOI: 10.1145/3020165.3022155  [details] 
  • 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). New York, NY: Association for Computing Machinery. DOI: 10.1145/3132847.3133010  [details] 
  • Dehghani, M., Severyn, A., Rothe, S., & Kamps, J. (2017). Learning to Learn from Weak Supervision by Full Supervision. In NIPS2017 workshop on Meta-Learning (MetaLearn 2017) (pp. 0)
  • 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). New York, NY: Association for Computing Machinery. DOI: 10.1145/3077136.3080832  [details] 
  • Kenter, T., Borisov, A., Van Gysel, C., Dehghani, M., de Rijke, M., & Mitra, B. (2017). Neural Networks for Information Retrieval. 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. 1403-1406). New York, NY: Association for Computing Machinery. DOI: 10.1145/3077136.3082062  [details] 

2016

  • Dehghani, M., Abnar, S., & Kamps, J. (2016). The Healing Power of Poison: Helpful Non-relevant Documents in Feedback. In CIKM'16: proceedings of the 2016 ACM Conference on Information and Knowledge Management : October 24-28, 2016, Indianapolis, IN, USA (pp. 2065-2068). New York, NY: Association for Computing Machinery. DOI: 10.1145/2983323.2983910  [details] 
  • 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). New York, NY: Association for Computing Machinery. DOI: 10.1145/2983323.2983814  [details] 
  • Dehghani, M., Azarbonyad, H., Kamps, J., & Marx, M. J. (2016). On Horizontal and Vertical Separation in Hierarchical Text Classification. In Proceedings of the 2016 ACM on International Conference on the Theory of Information Retrieval (ICTIR) (pp. 185-194)
  • Dehghani, M., Azarbonyad, H., Kamps, J., & Marx, M. (2016). Generalized Group Profiling for Content Customization. In CHIIR'16: proceedings of the 2016 ACM Conference on Human Information Interaction and Retrieval : March 13-17, 2016, Carrboro, NC, USA (pp. 245-248). New York, NY: The Association for Computing Machinery. DOI: 10.1145/2854946.2855003  [details] 
  • Dehghani, M., Azarbonyad, H., Kamps, J., & Marx, M. (2016). Hierarchical Text Classification Based on Separation in the Data or Feature Space. In DIR'16: Proceedings of the 15th Dutch-Belgian Information Retrieval Workshop Delft University of Technology.
  • Dehghani, M., Azarbonyad, H., Kamps, J., & Marx, M. (2016). Two-Way Parsimonious Classification Models for Evolving Hierarchies. In N. Fuhr, P. Quaresma, T. Gonçalves, B. Larsen, K. Balog, C. Macdonald, L. Cappellato, ... N. Ferro (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). Cham: Springer. DOI: 10.1007/978-3-319-44564-9_6  [details] 

2015

  • Azarbonyad, H., Saan, F., Dehghani, M., Marx, M., & Kamps, J. (2015). Are Topically Diverse Documents Also Interesting? In J. Mothe, J. Savoy, J. Kamps, K. Pinel-Sauvagnat, G. J. F. Jones, E. SanJuan, L. Cappellato, ... N. Ferro (Eds.), Experimental IR Meets Multilinguality, Multimodality, and Interaction: 6th International Conference of the CLEF Association, CLEF'15, Toulouse, France, September 8–11, 2015 : proceedings (pp. 215-221). (Lecture Notes in Computer Science; Vol. 9283). Cham: Springer. DOI: 10.1007/978-3-319-24027-5_19  [details] 
  • Azarbonyad, H., Dehghani, M., Marx, M., & Kamps, J. (2015). Time-aware authorship attribution for short text streams. In SIGIR 2015: proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval: August 9-13, 2015, Santiago, Chile (pp. 727-730). New York, NY: Association for Computing Machinery. DOI: 10.1145/2766462.2767799  [details] 
  • Dehghani, M., Azarbonyad, H., Marx, M., & Kamps, J. (2015). Sources of evidence for automatic indexing of political texts. In A. Hanbury, G. Kazai, A. Rauber, & N. Fuhr (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). Cham: Springer. DOI: 10.1007/978-3-319-16354-3_63  [details] 

2014

  • Olieman, A., Azarbonyad, H., Dehghani, M., Kamps, J., & Marx, M. J. (2014). Entity linking by focusing DBpedia candidate entities. In ERD'14: proceedings of the First ACM International Workshop on Entity Recognition & Disambiguation: July 11, 2014, Gold Coast, Queensland, Australia (pp. 13-24). New York: ACM Press. DOI: 10.1145/2633211.2634353 

2017

  • Dehghani, M., Zamani, H., Severyn, A., Kamps, J., & Croft, W. B. (2017). Neural Ranking Models with Weak Supervision (extended abstract). In BNAIC'17: Pre-proceedings of the 29th Benelux Conference on Artificial Intelligence University of Groningen.
  • Dehghani, M., Azarbonyad, H., Kamps, J., & Marx, M. (2017). Significant Words Language Models for Contextual Suggestion. In TREC'16: Proceedings of the Twenty-Fifth Text REtrieval Conference National Institute for Standards and Technology. NIST Special Publication: SP 500-321.

2016

  • 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). New York, NY: Association for Computing Machinery. DOI: 10.1145/2911451.2911474  [details] 
  • Dehghani, M., Azarbonyad, H., Kamps, J., & Marx, M. (2016). UvA-ExPoSe at TREC 2016: Contextual Suggestion Track. In The Twenty-Fifth Text REtrieval Conference Notebook (TREC 2016) National Institute for Standards and Technology (NIST).
  • Hashemi, S. H., Dehghani, M., & Kamps, J. (2016). Parsimonious User and Group Profiling in Venue Recommendation. In E. M. Voorhees, & A. Ellis (Eds.), Proceedings of the Twenty-Fourth Text REtrieval Conference (TREC 2015) National Institute for Standards and Technology, NIST Special Publication 500-319.
  • Quiroz, L., Mennes, L., Dehghani, M., & Kanoulas, E. (2016). Distributional Semantics for Medical Information Extraction. CEUR Workshop Proceedings, 1609, 109-122. [details] 

2017

  • 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. [details] 
  • Dehghani, M., Zamani, H., Severyn, A., Kamps, J., & Croft, W. B. (2017). Neural Ranking Models with Weak Supervision. Abstract from 16th Dutch-Belgian Information Retrieval Workshop, Hilversum, Netherlands. [details] 

2016

  • Dehghani, M., Azarbonyad, H., Kamps, J., Hiemstra, D., & Marx, M. J. (2016). Inoculating Relevance Feedback Against Poison Pills. Abstract from 15th Dutch-Belgian Information Retrieval Workshop (DIR'16), .

Prijs

  • Dehghani, Mostafa Dehghani (2016): Doctoral Consortium Award.
  • Dehghani, Mostafa Dehghani, Azarbonyad, H., Kamps, J. & Marx, M.J. (2016): Best Paper Award.
  • Dehghani, Mostafa Dehghani, Azarbonyad, H., Kamps, J. & Marx, M.J. (2016): Best Paper Honorable Mention.
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