Publications

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Author Title [ Year(Desc)]
2019
Gotti, F., and P. Langlais, "Weakly Supervised, Data-Driven Acquisition of Rules for Open Information Extraction", 32nd Canadian Conference on Artificial Intelligence: Springer, pp. 16--28, 06/2019. pdf
Lapalme, G., "Realizing Universal Dependencies Structures using a symbolic approach", The Second Multilingual Surface Realisation Shared Task (SR'19) , Hong-Kong, EMNLP-2019, 11/2019. pdf
Lapalme, G., Verbalizing AMR Structures, , Montréal , RALI-DIRO, pp. 35 pages, 08/2019. pdf
Lapalme, G., Realizing Universal Dependencies Structures, , RALI-DIRO, pp. 26 pages, 10/2019. pdf
Léchelle, W., "Protocoles d’évaluation pour l’extraction d’information libre", DIRO, vol. Ph.D., Montreal, pp. 142, 10/2019. pdf
Levreault, J-G., "Ontomic, une ontologie pour la microbiologie clinique", DIRO, vol. M.Sc., pp. 231, 01/2019. pdf
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.
Lu, Z., and J-Y. Nie, "RALIGRAPH at HASOC 2019: VGCN-BERT: Augmenting BERT with Graph Embedding for Offensive Language Detection", Proceedings of the 11th annual meeting of the Forum for Information Retrieval Evaluation (December 2019), 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.
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., 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.
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.
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.
2020
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

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