Words are malleable: Computing semantic shifts in political and media discourse H Azarbonyad, M Dehghani, K Beelen, A Arkut, M Marx, J Kamps Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 45 | 2017 |
Time-aware authorship attribution for short text streams H Azarbonyad, M Dehghani, M Marx, J Kamps Proceedings of the 38th International ACM SIGIR Conference on Research and …, 2015 | 32 | 2015 |
Luhn revisited: Significant words language models M Dehghani, H Azarbonyad, J Kamps, D Hiemstra, M Marx Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 28 | 2016 |
A genetic algorithm for solving quadratic assignment problem (QAP) H Azarbonyad, R Babazadeh arXiv preprint arXiv:1405.5050, 2014 | 25 | 2014 |
Learning to transform, combine, and reason in open-domain question answering M Dehghani, H Azarbonyad, J Kamps, M de Rijke Proceedings of the Twelfth ACM International Conference on Web Search and …, 2019 | 21 | 2019 |
Entity linking by focusing DBpedia candidate entities A Olieman, H Azarbonyad, M Dehghani, J Kamps, M Marx Proceedings of the first international workshop on Entity recognition …, 2014 | 20 | 2014 |
Using Learning to Rank Approach for Parallel Corpora Based Cross Language Information Retrieval. H Azarbonyad, A Shakery, H Faili ECAI 12, 79-84, 2012 | 15 | 2012 |
Domain Adaptation for Commitment Detection in Email H Azarbonyad, R Sim, R W. White WSDM 2019: 12th International Conference on Web Search and Data Mining, 2019 | 13 | 2019 |
Learning to rank for multi-label text classification: combining different sources of information H Azarbonyad, M Dehghani, M Marx, J Kamps Natural Language Engineering 27 (1), 89-111, 2021 | 12 | 2021 |
Hierarchical re-estimation of topic models for measuring topical diversity H Azarbonyad, M Dehghani, T Kenter, M Marx, J Kamps, M Rijke European Conference on Information Retrieval, 68-81, 2017 | 12 | 2017 |
Generalized group profiling for content customization M Dehghani, H Azarbonyad, J Kamps, M Marx Proceedings of the 2016 ACM on Conference on Human Information Interaction …, 2016 | 11 | 2016 |
Exploiting multiple translation resources for english-persian cross language information retrieval H Azarbonyad, A Shakery, H Faili International Conference of the Cross-Language Evaluation Forum for European …, 2013 | 11 | 2013 |
On horizontal and vertical separation in hierarchical text classification M Dehghani, H Azarbonyad, J Kamps, M Marx Proceedings of the 2016 ACM International Conference on the Theory of …, 2016 | 10 | 2016 |
Sources of evidence for automatic indexing of political texts M Dehghani, H Azarbonyad, M Marx, J Kamps European Conference on Information Retrieval, 568-573, 2015 | 10 | 2015 |
Share your model instead of your data: Privacy preserving mimic learning for ranking M Dehghani, H Azarbonyad, J Kamps, M de Rijke arXiv preprint arXiv:1707.07605, 2017 | 9 | 2017 |
Two-way parsimonious classification models for evolving hierarchies M Dehghani, H Azarbonyad, J Kamps, M Marx International Conference of the Cross-Language Evaluation Forum for European …, 2016 | 8 | 2016 |
A learning to rank approach for cross-language information retrieval exploiting multiple translation resources H Azarbonyad, A Shakery, H Faili Natural Language Engineering 25 (3), 363-384, 2019 | 7 | 2019 |
Hitr: Hierarchical topic model re-estimation for measuring topical diversity of documents H Azarbonyad, M Dehghani, T Kenter, M Marx, J Kamps, M De Rijke IEEE Transactions on Knowledge and Data Engineering 31 (11), 2124-2137, 2018 | 6 | 2018 |
Are topically diverse documents also interesting? H Azarbonyad, F Saan, M Dehghani, M Marx, J Kamps International Conference of the Cross-Language Evaluation Forum for European …, 2015 | 6 | 2015 |
Task detection in communications using domain adaptation RA Sim, RW White, H Azarbonyad US Patent App. 16/173,987, 2020 | 3 | 2020 |