Lê Hồng Phương

Le Hong Phuong, Doctor
Position in Department:
Head
Office:
T5-505
VNU mail:
phuonglh
Website:
http://mim.hus.vnu.edu.vn/lhp/index.xhtml
Research Fields:
Natural Language Processing, Statistical Machine Learning, Applied Mathematics
Education :
  • PhD, 2010, Computer Science, Université de Lorraine, France
  • Master, 2005, Information Technology, Institut de la Francophonie pour l'Informatique, Vietnam
  • Bachelor, 2002, Applied Mathematics-Informatics, University of Science, Vietnam National University, Hanoi
Teaching:
  • Text Mining
  • Statistical Machine Learning
  • Data Structures and Algorithms
  • Object-Oriented Programming
  • Introduction to Computer Science
Science Activities:
  • Reviewer for multiple computer science and information technology journals of Vietnam
  • Reviewer, programme commitee for multiple international/national scientific conferences and workshops: RIVF, KSE, ATC, Nafosted, VLSP, FAIR, NSIC...
Awards:
  • Young Scientist Award of the Vietnam Association of Mathematical Applications, 2005

Publications

  1. Improving Multi-Label Classification of Similar Languages by Semantics-Aware Word Embeddings. In: Proceedings of the Eleventh Workshop on NLP for Similar Languages, Varieties, and Dialects (VarDial 2024). Proceedings of the Eleventh Workshop on NLP for Similar Languages, Varieties, and Dialects (VarDial 2024).; 2024. Available at: https://aclanthology.org/2024.vardial-1.21.pdf.
  2. Two Neural Models for Multilingual Grammatical Error Detection. Proceedings of the 12th Workshop on NLP for Computer Assisted Language Learning, Tórshavn, Faroe Islands, 2023. 2023. Available at: https://aclanthology.org/2023.nlp4call-1.5/.
  3. A Context-Aware Approach for Improving Dialog Act Detection in a Multilingual Conversational Platform. Proceedings of Computational Collective Intelligence and Natural Language tiProcessing, Budapest, Hungary, 2023. 2023. Available at: https://link.springer.com/chapter/10.1007/978-3-031-41456-5_18.
  4. Multilingual Natural Language Understanding for the FPT.AI Conversational Platform. Proceedings of the 14th IEEE International Conference on Knowledge and Systems Engineering, 2022. 2022. Available at: https://ieeexplore.ieee.org/document/9953794/.
  5. Content-based Approach for Vietnamese Spam SMS Filtering. The 20th International Conference on Asian Language Processing. 2016. Available at: http://chinese.csie.ncku.edu.tw/IALP2016/.
  6. Using Distributed Word Representations in Graph-Based Dependency Parsing for Vietnamese. The 9th National Conference on Fundamental and Applied Information Technology (FAIR'9). 2016:804-810.
  7. Le-Hong P, Roussanaly A, Nguyen T-M-H. A syntactic component for Vietnamese language processing. Journal of Language Modelling. 2015;3(1):145-184.
  8. Improving Vietnamese Dependency Parsing Using Distributed Word Representations. In: Proceedings of the Sixth International Symposium on Information and Communication Technology. Proceedings of the Sixth International Symposium on Information and Communication Technology. New York, NY, USA: ACM; 2015. doi:10.1145/2833258.2833296.