Publications

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[ Auteur(Desc)] Titre Année
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Vaucher, J., and G. Lapalme, Poops: an Object Oriented Prolog, , no. 565: Département d'informatique et recherche opérationnelle, Université de Montréal, mar, 1986.
Vaudry, P-L., and G. Lapalme, "Activity of Daily Living Anomaly Report Generation from Extracted Associations", European Conference on Natural Language Generation, Brighton, UK, sep, 2015.
Vaudry, P-L., and G. Lapalme, "Adapting SimpleNLG for bilingual English-French realisation", 14th European Conference on Natural Language Generation, Sofia, Bulgaria, Aug, 2013. pdf
Vaudry, P-L., Narrative Generation by Associative Network Extraction from Real-life Temporal Data, : Université de Montréal, 2017. pdf
Vaudry, P-L., "Génération de récits cohérents à partir de données sur des agents", Département d'informatique: Université de Montréal, pp. 50 pages, 09/2014. pdf
Vaudry, P-L., and G. Lapalme, "Causal networks as the backbone for temporal data-to-text", First International Workshop on Data-to-Text Generation, 03/2015. pdf
Vaudry, P-L., and G. Lapalme, "Assembling Narratives with Associative Threads", Proceedings of the INLG 2016 Workshop on Computational Creativity in Natural Language Generation, Edinburgh, United Kingdom, Association for Computational Linguistics, 2016. 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
Vaudry, P-L., and G. Lapalme, "Narrative Generation from Extracted Associations", Proceedings of the 15th European Workshop on Natural Language Generation, Brighton, United Kingdom, Association for Computational Linguistics, 2015. pdf
Vazov, N., and G. Lapalme, "Identification and representation of temporal structures in French", Workshop on Semantic Approximation, Granularity, and Vagueness, Breckenridge, Colorado, USA, pp. 79-86, apr, 2000. pdf
Véronis, J., and P. Langlais, "Evaluation of parallel text alignment systems: The ARCADE project", Parallel Text Processing, Kluwer Academic Publishers, Text, Speech and Language Technology Series, pp. 369-388, 2000. pdf
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Wang, M. W., J-Y. Nie, and X. - Q. Zeng, "A latent semantic classification model", ACM-CIKM, 2005.
Wang, J., W. Xin Zhao, R. Yan, H. Wei, J-Y. Nie, and X. Li, "Using Lexical and Thematic Knowledge for Name Disambiguation", Information Retrieval Technology: Springer Berlin Heidelberg, pp. 76–88, 2012.
Wang, M. - W., and J-Y. Nie, "A latent semantic structure model for text classification", Workshop on Mathematical/Formal methods in information retrieval, 26th ACM-SIGIR, Toronto, aug, 2003.
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
Warwick, S., G. Russell, R. Boschetti, and P. Bouillon, Un riche environnement pour l'analyse et la génération de français, , 1989.
Warwick, S., and G. Russell, "Bilingual Concordancing and Bilingual Lexicography", EURALEX 4th International Congress, 1990.
Warwick, S., J. Hajič, and G. Russell, "Searching on Tagged Corpora: Linguistically Motivated Concordance Analysis", Electronic Text Research: Proceedings of the Sixth Annual Conference of the UW {Centre} for the {New} {Oxford} {English} {Dictionary} and Text Research, pp. 10–18, 1990.
Wen, J., J-Y. Nie, and H. Zhang, "Query Clustering Using Content Words and User Feedback", 24th ACM-SIGIR, New Orleans, pp. 442-443, sep, 2001. pdf
Wen, J., J-Y. Nie, and H. Zhang, "Clustering User Queries of a Search Engine", WWW10, Hong Kong, may, 2001. pdf
Wen, J., J-Y. Nie, and H. Zhang, "Query Clustering Using User Logs", ACM Transactions on Information Systems,20 (1), pp. 59-81, 2002. pdf
Wu, H.. C., R. W. P. Luk, K-F. Wong, and J-Y. Nie, "A split-list approach for relevance feedback in information retrieval", Information Processing & Management, vol. 48, no. 5, pp. 969–977, 2012.
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Xing, Q., Y. Liu, J-Y. Nie, M. Zhang, S. Ma, and K. Zhang, "Incorporating user preferences into click models", Proceedings of the 22nd ACM international conference on Conference on information & knowledge management: ACM, pp. 1301–1310, 2013.
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Yan, R., J-Y. Nie, and X. Li, "Summarize what you are interested in: an optimization framework for interactive personalized summarization", Proceedings of the Conference on Empirical Methods in Natural Language Processing: Association for Computational Linguistics, pp. 1342–1351, 2011.
Yousfi-Monod, M., A. Farzindar, and G. Lapalme, "Supervised Machine Learning for summarizing Legal Documents", Canadian Conference on Artificial Intelligence 2010, vol. 6085, Ottawa, Canada, Springer, pp. 51-62, may, 2010. pdf

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