Search results
Results: 40
Number of items: 40
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Ermakova, L., SanJuan, E., Huet, S., Azarbonyad, H., Augereau, O., & Kamps, J. (2023). Overview of the CLEF 2023 SimpleText Lab: Automatic Simplification of Scientific Texts. In A. Arampatzis, E. Kanoulas, T. Tsikrika, S. Vrochidis, A. Giachanou, D. Li, M. Aliannejadi, M. Vlachos, G. Faggioli, & N. Ferro (Eds.), Experimental IR Meets Multilinguality, Multimodality, and Interaction: 14th International Conference of the CLEF Association, CLEF 2023, Thessaloniki, Greece, September 18–21, 2023 : proceedings (pp. 482-506). (Lecture Notes in Computer Science; Vol. 14163). Springer. https://doi.org/10.1007/978-3-031-42448-9_30 -
Ermakova, L., SanJuan, E., Huet, S., Augereau, O., Azarbonyad, H., & Kamps, J. (2023). CLEF 2023 SimpleText Track: What Happens if General Users Search Scientific Texts? In J. Kamps, L. Goeuriot, F. Crestani, M. Maistro, H. Joho, B. Davis, C. Gurrin, U. Kruschwitz, & A. Caputo (Eds.), Advances in Information Retrieval: 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2–6, 2023 : proceedings (Vol. III, pp. 536-545). (Lecture Notes in Computer Science; Vol. 13982). Springer. https://doi.org/10.1007/978-3-031-28241-6_62
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Ermakova, L., Huet, S., SanJuan, É., Augereau, O., Azarbonyad, H., & Kamps, J. (2023). Quand des Non-Experts Recherchent des Textes Scientifiques: Rapport sur l'action CLEF 2023 SimpleText. In F. Boudin, B. Daille, R. Dufour, O. El Khettari, M. Houbre, L. Jourdan, & N. Kooli (Eds.), Actes de CORIA-TALN 2023 : Actes de l'atelier "Analyse et Recherche de Textes Scientifiques", ARTS@TALN 2023: Paris, France, June 5-9, 2023 (pp. 27-33). ATALA. https://aclanthology.org/2023.jeptalnrecital-arts.5
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Azarbonyad, H., Dehghani, M., Marx, M., & Kamps, J. (2021). Learning to rank for multi-label text classification: Combining different sources of information. Natural Language Engineering, 27(1), 89-111. https://doi.org/10.1017/S1351324920000029
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Dehghani, M., Azarbonyad, H., Kamps, J., & de Rijke, M. (2019). Learning to Transform, Combine, and Reason in Open-Domain Question Answering. In K. Beuls, B. Bogaerts, G. Bontempi, P. Geurts, N. Harley, B. Lebichot, T. Lenaerts, G. Louppe, & P. Van Eecke (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 Article 16 (CEUR Workshop Proceedings; Vol. 2491). CEUR-WS. http://ceur-ws.org/Vol-2491/abstract16.pdf
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Azarbonyad, H., Dehghani, M., Kenter, T., Marx, M., Kamps, J., & de Rijke, M. (2019). HiTR: Hierarchical Topic Model Re-estimation for Measuring Topical Diversity of Documents. IEEE Transactions on Knowledge and Data Engineering, 31(11), 2124-2137 . https://doi.org/10.1109/TKDE.2018.2874246
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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. https://doi.org/10.1145/3289600.3291012
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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
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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
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