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Ghaddar, A., "Leveraging distant supervision for improved named entity recognition", DIRO, vol. PhD: Papyrus, pp. 147, 2021.
Lapalme, G., Regenerating sentences from Universal Dependencies Structures, : RALI-DIRO, 01/2021. pdf
Lapalme, G., The jsRealB Text Realizer: Organization and Use Cases, , no. arXiv:2012.15425, 01/2021. pdf
Alfonso-Hermelo, D., I. Elbaz, T. Gao, F. Gotti, D. Kletz, P. Langlais, V. Letard, L. Pagès, F. Piedboeuf, H. Samara Dos Santos, et al., Detection of Recurring Defects in Airline Incident Reports, , 2020. pdf
Bernier-Colborne, G., and P. Langlais, "HardEval: Focusing on Challenging Tokens to Assess Robustness of NER", Proceedings of The 12th Language Resources and Evaluation Conference, Marseille, France, European Language Resources Association, 2020. pdf
Carmel, D., Y. Chang, H. Deng, and J-Y. Nie, "Future Directions of Query Understanding", Query Understanding for Search Engines: Springer, pp. 205–224, 2020.
Ghaddar, A., and P. Langlais, "SEDAR: a Large Scale French-English Financial Domain Parallel Corpus", Proceedings of The 12th Language Resources and Evaluation Conference, Marseille, France, European Language Resources Association, 2020. pdf
Lapalme, G., and D. Le Pesant, "Deux dictionnaires informatisés de Jean Dubois et Françoise Dubois-Charlier, leurs ultimes travaux", Linx, vol. 80, issue 1, pp. 29, 2020. pdf
Lapalme, G., RDFjsRealB: a Symbolic Approach for Generating Text from RDF Triples - detailed paper, , 11/2020. pdf
Lapalme, G., "RDFjsRealB: a Symbolic Approach for Generating Text from RDF Triples", 3rd WebNLG Workshop on Natural Language Generation from the Semantic Web (WebNLG+ 2020), Dublin, Ireland, SIGGEN, 12/2020. pdf
Li, Z., J-Y. Nie, B. Wang, P. Du, Y. Zhang, L. Zou, and D. Li, "Meta-Learning for Neural Relation Classification with Distant Supervision", Proceedings of the 29th ACM International Conference on Information & Knowledge Management, 2020.
Lu, Z., P. Du, and J-Y. Nie, "VGCN-BERT: Augmenting BERT with Graph Embedding for Text Classification", European Conference on Information Retrieval: Springer, 2020. pdf
Piedboeuf, F., Détecter la personnalité sur les réseaux sociaux, : DIRE, 2020.
Sherif, R. El, A. Langlois, P. Du, J-Y. Nie, J. Thomas, Q. Nha Hong, and P. Pluye, "Identifying empirical studies for mixed studies reviews: The mixed filter and the automated text classifier", Education for Information: IOS Press, pp. 1–5, 2020.
Wang, S., P. Ren, Z. Chen, Z. Ren, J-Y. Nie, J. Ma, and M. de Rijke, Coding Electronic Health Records with Adversarial Reinforcement Path Generation, , 2020. pdf
Zhao, K., T. Bai, B. Wu, B. Wang, Y. Zhang, Y. Yang, and J-Y. Nie, "Deep Adversarial Completion for Sparse Heterogeneous Information Network Embedding", Proceedings of The Web Conference 2020, New York, NY, USA, Association for Computing Machinery, 2020. pdf
Zhu, Y., R. Song, Z. Dou, J-Y. Nie, and J. Zhou, "ScriptWriter: Narrative-Guided Script Generation", arXiv preprint arXiv:2005.10331, 2020. 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, vol. 23: Springer, pp. 27–48, 2020. pdf
Zou, L., L. Xia, P. Du, Z. Zhang, T. Bai, W. Liu, J-Y. Nie, and D. Yin, "Pseudo Dyna-Q: A Reinforcement Learning Framework for Interactive Recommendation", Proceedings of the 13th International Conference on Web Search and Data Mining, 2020. pdf
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.