Search results
Results: 44
Number of items: 44
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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 -
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. https://marijnkoolen.github.io/dir2017/accepted-submissions/DIR2017_paper_3.pdf -
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). Association for Computing Machinery. https://doi.org/10.1145/3077136.3082062 -
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 -
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 -
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 -
Dehghani, M., Severyn, A., Rothe, S., & Kamps, J. (2017). Learning to Learn from Weak Supervision by Full Supervision. Paper presented at Workshop on Meta-Learning (MetaLearn 2017), Long Beach, California, United States. https://meta-learn.github.io/2017/papers/metalearn17_dehghani.pdf -
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). Springer. https://doi.org/10.1007/978-3-319-44564-9_6 -
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. https://doi.org/10.1145/2970398.2970408 -
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. https://doi.org/10.1145/2911451.2911474
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