Publications

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Author Title [ Year(Asc)]
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
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.
Levreault, J-G., "Ontomic, une ontologie pour la microbiologie clinique", DIRO, vol. M.Sc., pp. 231, 01/2019. 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
2018
Bai, T., X. Zhao, Y. He, J-Y. Nie, and J-R. Wen, "Characterizing and Predicting Early Reviewers for Effective Product Marketing on E-Commerce Websites", IEEE Transactions on Knowledge and Data Engineering, pp. 1-1, 2018. pdf
Bai, T., J-Y. Nie, W. Xin Zhao, Y. Zhu, P. Du, and J-R. Wen, "An Attribute-aware Neural Attentive Model for Next Basket Recommendation", The 41st International ACM SIGIR Conference on Research &\#38; Development in Information Retrieval, New York, NY, USA, ACM, 2018. pdf
Du, P., and J-Y. Nie, "Mutux at SemEval-2018 Task 1: Exploring Impacts of Context Information On Emotion Detection", Proceedings of The 12th International Workshop on Semantic Evaluation: Association for Computational Linguistics, 2018. pdf
Ferro, N., N. Fuhr, G. Grefenstette, J. A. Konstan, P. Castells, E. M. Daly, T. Declerck, M. D. Ekstrand, W. Geyer, J. Gonzalo, et al., "The Dagstuhl Perspectives Workshop on Performance Modeling and Prediction", SIGIR Forum, vol. 52, New York, NY, USA, ACM, pp. 91–101, 2018. 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., 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
Jakubina, L., "Induction de lexiques bilingues à partir de corpus comparables et parallèles", Département d'informatique et de recherche opérationnelle, vol. Ph.D., pp. 147, 1/2018. pdfpdf
Jakubina, L., and P. Langlais, "Reranking Candidate Lists for Improved Lexical Induction", Advances in Artificial Intelligence, Cham, Springer International Publishing, 2018. pdf
Jiang, Z., Z. Dou, W. Xin Zhao, J-Y. Nie, M. Yue, and J-R. Wen, "Supervised Search Result Diversification via Subtopic Attention", IEEE Transactions on Knowledge and Data Engineering, vol. 30, pp. 1971-1984, Oct, 2018. pdf
Kessler, R., G. Lapalme, F. Gotti, A. Outerqiss, and P. Langlais, "Et si les réseaux sociaux pouvaient nous aider dans nos choix de carrière?", Revue des Nouvelles Technologies de l'Information, vol. Extraction et Gestion des Connaissances, RNTI-E-34, pp. 293-298, 01/2018. pdf
Langlois, A., J-Y. Nie, J. Thomas, Q. Nha Hong, and P. Pluye, "Discriminating between empirical studies and nonempirical works using automated text classification", Research Synthesis Methods, 2018. pdf
Lechelle, W., and P. Langlais, "Revisiting the Task of Scoring Open IE Relations", Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), Paris, France, European Language Resources Association (ELRA), may, 2018. pdf
Nie, Y., Y. Li, and J-Y. Nie, "Empirical Study of Multi-level Convolution Models for IR Based on Representations and Interactions", Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval, New York, NY, USA, ACM, 2018. pdf
Nie, Y., A. Sordoni, and J-Y. Nie, "Multi-level Abstraction Convolutional Model with Weak Supervision for Information Retrieval", The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, New York, NY, USA, ACM, 2018. pdf
Soliman, Z., "Predictive Models for Career Progression", Informatique et recherche opérationnelle, vol. M.Sc., pp. 56, 09/2018. 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
2017
Casagrande, A., F. Gotti, and G. Lapalme, Classification d'offres d'emploi, , 2017. pdf
Casagrande, A., F. Gotti, and G. Lapalme, "Cerebra, un système de recommandation de candidats pour l'e-recrutement", AISR 2017, Paris, 06/2017. pdfpdf
Ermakova, L., L. Goeuriot, J. Mothe, P. Mulhem, J-Y. Nie, and E. SanJuan, "CLEF 2017 Microblog Cultural Contextualization Lab Overview", Experimental IR Meets Multilinguality, Multimodality, and Interaction: 8th International Conference of the CLEF Association, CLEF 2017, Dublin, Ireland, September 11–14, 2017, Proceedings, Cham, Springer International Publishing, pp. 304–314, 2017.
Forand, K., and P. Langlais, "Curating an Open Information Extraction Knowledge Base Using Games with a Purpose", Games4NLP, 2017. pdf

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