GDAC
Laboratoire de recherche en Gestion, Diffusion et Acquisition des Connaissances
201, av. Président-Kennedy | PK4285, PK5275 | Montréal, Québec, Canada

Articles publiés GDAC


Critères de filtrage
Année de publication:

  1. N. Ghazzawi, B. Robichaud, P. Drouin and F. Sadat. Automatic extraction of specialized verbal units - A comparative study on Arabic, English and French. In Terminology | International Journal of Theoretical and Applied Issues in Specialized Communication (to appear) .

  2. Tato, A., Nkambou, R., Brisson, J., Kenfack, C., Robert, S., & Kissok, P. (2016, September). A Bayesian Network for the Cognitive Diagnosis of Deductive Reasoning. In European Conference on Technology Enhanced Learning (pp. 627-631). Springer International Publishing.

  3. Fonseca, A., Sadat, F., & Lareau, F. (2016). Lexfom: a lexical functions ontology model. COLING 2016, 145.Lien .

  4. Le, N. T., Mallek, F., & Sadat, F. (2016). UQAM-NTL: Named entity recognition in Twitter messages. WNUT 2016, 197. Lien .

  5. Alexsandro Fonseca, Fatiha Sadat et François Lareau (2016). A Lexical Ontology to Represent Lexical Functions. Proceedings of the 2nd Workshop on Language and Ontology (LangOnto2, LREC-2016), pp. 69-73, Portoroz, Slovenia, May 23rd 2016. Lien .

  6. Billal, B., Fonseca, A., & Sadat, F. (2016). Named Entity Recognition and Hashtag Decomposition to Improve the Classification of Tweets. WNUT 2016, 102.Lien .

  7. Kenfack, C., Nkambou, R., Robert, S., Tato, A. A. N., Brisson, J., & Kissok, P. (2016). A Brief Overview of Logic-Muse, an Intelligent Tutoring System for Logical Reasoning Skills. In Intelligent Tutoring Systems (ITS) 2016. LNCS 9684, (pp. 511–513). (p. 511). Springer International Publishing.

  8. Nkambou, R., Tato, A. A. N., Brisson, J., Kenfack, C., Robert, S., & Kissok, P. (2016). On the Evaluation of the Expert and the Learner Models of Logic-Muse Tutoring System. In Intelligent Tutoring Systems (ITS) 2016 LNCS 9684, (pp. 506–508) (p. 506). Springer International Publishing.

  9. Bilal Belainine, Alexsandro Fonseca, Fatiha Sadat. Efficient Natural Language Pre-processing for analyzing large data sets. In Proc. of Big Data and Natural Language Processing workshop, IEEE Big Data 2016. Washington D.C., USA, Dec. 5-8, 2016.

  10. Nkambou, R., Brisson, J., Kenfack, C., Robert, S., Kissok, P., Tato, A. (2015). The Participatory Design of Logic-Muse, an Intelligent Tutoring System for Logical Reasoning in Multiple Contexts. In S. Carliner, C. Fulford & N. Ostashewski (Eds.), Proceedings of EdMedia: World Conference on Educational Media and Technology 2015 (pp. 171029-171938). Association for the Advancement of Computing in Education (AACE).

  11. Sellami, R., Deffaf, F., Sadat, F., & Hadrich Belguith, L. (2015). Improved statistical machine translation by cross-linguistic projection of named entities recognition and translation. Computación y Sistemas, 19(4), 701-711.Lien .

  12. Mohamed, E., & Sadat, F. (2015). Hybrid Arabic–French machine translation using syntactic re-ordering and morphological pre-processing. Computer Speech & Language, 32(1), 135-144. Lien .

  13. SELLAMI, R., & SADAT, F. (2015). IMPROVING NAMED ENTITY TRANSLATION BY EXPLOITING NOISY PARALLEL CORPORA. Papers in Translation Studies, 179.Lien .

  14. Fennouh, S., Nkambou, R., Valtchev, P., & Rouane-Hacene, M. (2015, November). On the Assessment of Concept Relevance in FCA-Based Ontology Restructuring. In Tools with Artificial Intelligence (ICTAI), 2015 IEEE 27th International Conference on (pp. 566-574).

  15. Nkambou, R., Brisson, J., Kenfack, C., Robert, S., Kissok, P., & Tato, A. (2015). Towards an Intelligent Tutoring System for Logical Reasoning in Multiple Contexts. In Design for Teaching and Learning in a Networked World, LNCS 9307, (pp. 460-466). Springer International Publishing.

  16. Sadat, F., Mallek, F., Sellami, R., Boudabous, M. M., & Farzindar, A. (2014, August). Collaboratively constructed linguistic resources for language vari-ants and their exploitation in nlp applications–the case of tunisian arabic and the social media. In Workshop on lexical and grammatical resources for language processing (p. 102)..Lien .

  17. Fonseca, A., & Sadat, F. (2014). A Comparative Study of Different Classification Methods for the Identification of Brazilian Portuguese Multiword Expressions. ComAComA 2014, 53..Lien .

  18. Fonseca, A., Sadat, F., & Massé, A. B. (2014). Identifying Portuguese Multiword Expressions using Different Classification Algorithms-A Comparative Analysis. COLING 2014, 104.Lien .

  19. FENNOUH, S., NKAMBOU, R., VALTCHEV, P., & ROUANE-HACENE, MOHAMED. (2014). STABILITY-BASED FILTERING FOR ONTOLOGY RESTRUCTURING. Studia Universitatis Babes-Bolyai, Informatica, 59.

  20. Sadat, F., Kazemi, F., & Farzindar, A. (2014, July). Automatic identification of Arabic dialects in social media. In Proceedings of the first international workshop on Social media retrieval and analysis (pp. 35-40). ACM.Lien .

  21. Sellami, R., Sadat, F., & Belguith, L. H. (2014, May). Mining Named Entity Translation from Non Parallel Corpora. In FLAIRS Conference (pp. 219-224).Lien .

  22. Rouane-Hacene, M., Fennouh, S., Nkambou, R., & Valtchev, P. (2010, October). Refactoring of ontologies: Improving the design of ontological models with concept analysis. In Tools with Artificial Intelligence (ICTAI), 2010 22nd IEEE International Conference on (Vol. 2, pp. 167-172). IEEE.