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Auteur Titre [ Année(Desc)]
2017
Umemoto, K., R. Song, J-Y. Nie, X. Xie, K. Tanaka, and Y. Rui, "Search by Screenshots for Universal Article Clipping in Mobile Apps", ACM Transactions on Information Systems (TOIS), vol. 35: ACM, pp. 34, 2017. pdf
Vaudry, P-L., Narrative Generation by Associative Network Extraction from Real-life Temporal Data, : Université de Montréal, 2017. pdf
2018
Bai, T., X. Zhao, Y. He, J-Y. Nie, and J-R. Wen, "Characterizing and Predicting Early Reviewers for Effective Product Marketing on E-Commerce Websites", IEEE Transactions on Knowledge and Data Engineering, pp. 1-1, 2018. pdf
Bai, T., J-Y. Nie, W. Xin Zhao, Y. Zhu, P. Du, and J-R. Wen, "An Attribute-aware Neural Attentive Model for Next Basket Recommendation", The 41st International ACM SIGIR Conference on Research &\#38; Development in Information Retrieval, New York, NY, USA, ACM, 2018. pdf
Du, P., and J-Y. Nie, "Mutux at SemEval-2018 Task 1: Exploring Impacts of Context Information On Emotion Detection", Proceedings of The 12th International Workshop on Semantic Evaluation: Association for Computational Linguistics, 2018. pdf
Ferro, N., N. Fuhr, G. Grefenstette, J. A. Konstan, P. Castells, E. M. Daly, T. Declerck, M. D. Ekstrand, W. Geyer, J. Gonzalo, et al., "The Dagstuhl Perspectives Workshop on Performance Modeling and Prediction", SIGIR Forum, vol. 52, New York, NY, USA, ACM, pp. 91–101, 2018. pdf
Ghaddar, A., and P. Langlais, "Transforming Wikipedia into a Large-Scale Fine-Grained Entity Type Corpus", Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), Paris, France, European Language Resources Association (ELRA), may, 2018. pdf
Ghaddar, A., and P. Langlais, "Robust Lexical Features for Improved Neural Network Named-Entity Recognition", Proceedings of the 27th International Conference on Computational Linguistics: Association for Computational Linguistics, 2018. pdf
Jakubina, L., "Induction de lexiques bilingues à partir de corpus comparables et parallèles", Département d'informatique et de recherche opérationnelle, vol. Ph.D., pp. 147, 1/2018. pdfpdf
Jakubina, L., and P. Langlais, "Reranking Candidate Lists for Improved Lexical Induction", Advances in Artificial Intelligence, Cham, Springer International Publishing, 2018. pdf
Jiang, Z., Z. Dou, W. Xin Zhao, J-Y. Nie, M. Yue, and J-R. Wen, "Supervised Search Result Diversification via Subtopic Attention", IEEE Transactions on Knowledge and Data Engineering, vol. 30, pp. 1971-1984, Oct, 2018. pdf
Kessler, R., G. Lapalme, F. Gotti, A. Outerqiss, and P. Langlais, "Et si les réseaux sociaux pouvaient nous aider dans nos choix de carrière?", Revue des Nouvelles Technologies de l'Information, vol. Extraction et Gestion des Connaissances, RNTI-E-34, pp. 293-298, 01/2018. pdf
Langlois, A., J-Y. Nie, J. Thomas, Q. Nha Hong, and P. Pluye, "Discriminating between empirical studies and nonempirical works using automated text classification", Research Synthesis Methods, 2018. pdf
Lechelle, W., and P. Langlais, "Revisiting the Task of Scoring Open IE Relations", Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), Paris, France, European Language Resources Association (ELRA), may, 2018. pdf
Nie, Y., Y. Li, and J-Y. Nie, "Empirical Study of Multi-level Convolution Models for IR Based on Representations and Interactions", Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval, New York, NY, USA, ACM, 2018. pdf
Nie, Y., A. Sordoni, and J-Y. Nie, "Multi-level Abstraction Convolutional Model with Weak Supervision for Information Retrieval", The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, New York, NY, USA, ACM, 2018. pdf
Soliman, Z., "Predictive Models for Career Progression", Informatique et recherche opérationnelle, vol. M.Sc., pp. 56, 09/2018. pdf
Vaudry, P-L., and G. Lapalme, "Placing mined clues on causality at the heart of narrative planning", Rapport interne: RALI-DIRO, 01/2018. pdf
2019
Abiteboul, S., M. Arenas, P. Barceló, M. Bienvenu, D. Calvanese, C. David, R. Hull, E. Hüllermeier, B. Kimelfeld, L. Libkin, et al., Dagstuhl Manifestos, Vol. 7, Issue 1 ISSN 2193-2433, , 2019.
Alfonso-Hermelo, D., P. Langlais, and L. Bourg, "Automatically Learning a Human-Resource Ontology from Professional Social-Network Data", Advances in Artificial Intelligence, Cham, Springer International Publishing, 2019. pdf
Bai, T., W. Xin Zhao, Y. He, J-Y. Nie, and J-R. Wen, "Correction to “Characterizing and Predicting Early Reviewers for Effective Product Marketing on E-Commerce Websites”", IEEE Transactions on Knowledge and Data Engineering, vol. 31: IEEE, pp. 818–818, 2019.
Bai, T., L. Zou, W. Xin Zhao, P. Du, W. Liu, J-Y. Nie, and J-R. Wen, "CTRec: A Long-Short Demands Evolution Model for Continuous-Time Recommendation", Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019.
Bai, T., P. Du, W. Xin Zhao, J-R. Wen, and J-Y. Nie, "A Long-Short Demands-Aware Model for Next-Item Recommendation", arXiv preprint arXiv:1903.00066, 2019.
Bellot, P., L. Cappellato, N. Ferro, J. Mothe, F. Murtagh, J-Y. Nie, E. SanJuan, L. Soulier, and C. Trabelsi, "Report on CLEF 2018: Experimental IR Meets Multilinguality, Multimodality, and Interaction", ACM SIGIR Forum: ACM, 2019.
Ghaddar, A., and P. Langlais, "Contextualized Word Representations from Distant Supervision with and for NER", Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019), Hong Kong, China, Association for Computational Linguistics, 2019. pdf

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