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Gao, J., H. Qi, X. Xia, and J-Y. Nie, "Linear Discriminant Model for Information Retrieval", ACM-SIGIR, Salvador, Brazil, pp. 290-297, aug, 2005. pdf
Gao, J., and J-Y. Nie, "A Study of Statistical Models for Query Translation: Finding a Good Unit of Translation", ACM-SIGIR, pp. 194-201, 2006.
Genest, P-E., and G. Lapalme, "Framework for Abstractive Summarization using Text-to-Text Generation", Proceedings of the Workshop on Monolingual Text-To-Text Generation, Portland, Oregon, USA, Association for Computational Linguistics, June, 2011. pdf
Genest, P-E., and G. Lapalme, "Text Generation for Abstractive Summarization", Proceedings of the Third Text Analysis Conference, Gaithersburg, Maryland, USA, National Institute of Standards and Technology, 2010. pdf
Genest, P-E., G. Lapalme, L. Nerima, and E. Wehrli, "A Symbolic Summarizer with 2 Steps of Sentence Selection for TAC 2009", Proceedings of the Second Text Analysis Conference, Gaithersburg, Maryland, USA, Nov, 2009. pdf
Genest, P-E., Génération automatique de résumés textuels, , pp. 46 pages, 03/2010.
Genest, P-E., F. Gotti, and Y. Bengio, "Deep Learning for Automatic Summary Scoring", Proceedings of the Workshop on Automatic Text Summarization: Canadian AI, pp. 17-28, May, 2011. pdf
Genest, P-E., G. Lapalme, and M. Yousfi-Monod, "HEXTAC: the Creation of a Manual Extractive Run", Proceedings of the Second Text Analysis Conference, Gaithersburg, Maryland, USA, Nov, 2009. pdf
Genest, P-E., and G. Lapalme, "Task Knowledge in Abstractive Summarization", RALI - internal report, pp. 10 pages, 02/2015. pdf
Genest, P-E., Système symbolique de création de résumés de mise à jour, : Université de Montréal, April, 2009. pdf
Genest, P-E., G. Lapalme, and M. Yousfi-Monod, "Jusqu'où peut-on aller avec des méthodes par extraction pour la rédaction de résumés?", TALN 2010, Montréal, Québec, Canada, pp. 10 pages, Jul, 2010. pdf
Genest, P-E., and G. Lapalme, "ABSUM: a Knowledge-Based Abstractive Summarizer", RALI - internal report, pp. 34 pages, 09/2014. pdf
Genest, P-E., "Génération de résumés par abstraction", Département d’informatique et de recherche opérationnelle, Montréal, Université de Montréal, pp. 80, 10/2013. pdf
Genest, P-E., and G. Lapalme, "Generated Abstracts for TAC 2011", Proceedings of the Fourth Text Analysis Conference, Gaithersburg, Maryland, USA, National Institute of Standards and Technology, November, 2011. pdf
Genest, P-E., and G. Lapalme, "Fully Abstractive Approach to Guided Summarization", Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), Jeju Island, Korea, Association for Computational Linguistics, pp. 354-358, July, 2012. pdf
Genest, P-E., G. Lapalme, L. Nerima, and E. Wehrli, "A Symbolic Summarizer for the Update Task of TAC 2008", Proceedings of the First Text Analysis Conference, Gaithersburg, Maryland, USA, NIST, Nov, 2008. pdf
Ghaddar, A., and P. Langlais, "WiNER: A Wikipedia Annotated Corpus for Named Entity Recognition", Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2017. pdf
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., 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
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., 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., 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, "Coreference in Wikipedia: Main Concept Resolution", Proceedings of the Tenth Conference on Computational Natural Language Learning (CoNLL 2016), Berlin, Germany, August, 2016. pdf
Ghaddar, A., "Leveraging distant supervision for improved named entity recognition", DIRO, vol. PhD: Papyrus, pp. 147, 2021.
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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