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Auteur Titre [ Année(Asc)]
2019
Lu, P., T. Bai, and P. Langlais, "SC-LSTM: Learning Task-Specific Representations in Multi-Task Learning for Sequence Labeling", Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), 2019.
Lu, S., Z. Dou, X. Jun, J-Y. Nie, and J-R. Wen, "PSGAN: A Minimax Game for Personalized Search with Limited and Noisy Click Data", Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval: ACM, 2019.
Nie, Y., J. Zhang, and J-Y. Nie, "Integrated Learning of Features and Ranking Function in Information Retrieval", Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, New York, NY, USA, ACM, 2019. pdf
Piedboeuf, F., P. Langlais, and L. Bourg, "Personality Extraction Through LinkedIn", Advances in Artificial Intelligence, Cham, Springer International Publishing, 2019. pdf
Soliman, Z., P. Langlais, and L. Bourg, "Learning Career Progression by Mining Social Media Profiles", Advances in Artificial Intelligence, Cham, Springer International Publishing, 2019. pdf
Sun, Z., Z-H. Deng, J-Y. Nie, and J. Tang, "Rotate: Knowledge graph embedding by relational rotation in complex space", arXiv preprint arXiv:1902.10197, 2019.
Sun, Z., J. Tang, P. Du, Z-H. Deng, and J-Y. Nie, "DivGraphPointer: A Graph Pointer Network for Extracting Diverse Keyphrases", arXiv preprint arXiv:1905.07689, 2019.
van Beurden, L., "Comparaison de systèmes de traduction automatique pour la postédition humaine des alertes météorologiques d’Environnement Canada", RALI-DIRO, vol. Maîtrise, Montréal, DIRO-Université de Montréal, pp. 118, 09/2019. pdf
Zhu, Y., Z. Dou, J-Y. Nie, and J-R. Wen, "ReBoost: a retrieval-boosted sequence-to-sequence model for neural response generation", Information Retrieval Journal: Springer, pp. 1–22, 2019.
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, "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
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
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., 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
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
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

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