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Author Title [ Year(Asc)]
2022
Lapalme, G., Le réalisateur de texte jsRealB, , 23 février 2022, Séminaire RALI-OLST, 2022. pdf
Piedboeuf, F., and P. Langlais, "Effective Data Augmentation for Sentence Classification using one VAE per Class", COLING, 2022. pdf
2021
Alfonso-Hermelo, D., A. Rashid, A. Ghaddar, P. Langlais, and M. Rezagholizadeh, "NATURE: Natural Auxiliary Text Utterances for Realistic Spoken Language Evaluation", Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2), 2021.
Bhardwaj, S., A. Ghaddar, A. Rashid, K. Bibi, C. Li, A. Ghodsi, P. Langlais, and M. Rezagholizadeh, "Knowledge Distillation with Noisy Labels for Natural Language Understanding", Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021), Online, Association for Computational Linguistics, 2021.
Ghaddar, A., P. Langlais, M. Rezagholizadeh, and A. Rashid, "End-to-End Self-Debiasing Framework for Robust NLU Training", Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, Online, Association for Computational Linguistics, 2021.
Ghaddar, A., P. Langlais, A. Rashid, and M. Rezagholizadeh, "Context-aware Adversarial Training for Name Regularity Bias in Named Entity Recognition", Transactions of the Association for Computational Linguistics, vol. 9, pp. 586-604, 07, 2021.
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
Lu, P., A. Ghaddar, A. Rashid, M. Rezagholizadeh, A. Ghodsi, and P. Langlais, "RW-KD: Sample-wise Loss Terms Re-Weighting for Knowledge Distillation", Findings of the Association for Computational Linguistics: EMNLP 2021, Punta Cana, Dominican Republic, Association for Computational Linguistics, 2021.
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., "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
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
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

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