Asocc.Prof. Dr. Tran Thi Oanh

  • Position: Lecturer
  • Title: Asocc.Prof. Dr.
  • Language: English
  • Email: tranthioanh@vnu.edu.vn
  • Địa chỉ: Trường Quốc tế – ĐHQGHN, nhà G7, 144 Xuân Thủy, Cầu Giấy, Hà Nội

Academic Degrees

  • Bachelor: University of Engineering and Technology, Vietnam National University, Hanoi
  • Master: University of Engineering and Technology, Vietnam National University, Hanoi
  • Ph.D.: Japan Advanced Institute of Science and Technology

Research Areas

  • Research interests: Natural Language Processing, Data Science, Machine Learning and Its Applications
  • Teaching subjects:

Journal

  1. Viet The Bui, Linh Thuy Ngo, Oanh Thi Tran. A reinforcement learning paradigm for Vietnamese aspect-based sentiment analysis. IAES International Journal of Artificial Intelligence (IJ-AI), Vol 14, No.4, August 2025, pp. 3375-3385 @   https://ijai.iaescore.com/index.php/IJAI/article/view/26879
  2. Manh Tien Nguyen, Phuong Mai Nguyen, Thi Minh Ngoc Luu, Oanh Thi Tran. Analysing Trends of CSR Implementation in Vietnamese Banks: A Deep Learning-based Approach.International Journal of Process Management and Benchmarking, 2024 (to appear) (SCOPUS-indexed)
  3. Luong Chi Tho, Oanh Thi Tran. Product information recognition in the retail domain as an MRC problem. Business Informatics Journal, No. 1, 2024. download (SCOPUS-indexed)
  4. Le Anh Duc, Nguyen Thanh Tung, Tran Thi Oanh, Ngo Quang Tri, Ngo Thuy Linh. Non-Invasive In Vivo Type 2 Diabetes Mellitus Diagnosis Using Raman Spectroscopy in Combination with Machine Learning. Mobile Netw Appl(2023). https://doi.org/10.1007/s11036-023-02184-w download  (SCIE-Q2)
  5. Viet The bui, Tho Chi Luong, Oanh Thi Tran*. Transformer-Based Joint Learning Approach for Text Normalization in Vietnamese Automatic Speech Recognition Systems, 2022, https://doi.org/10.1080/01969722.2022.2145654 download (SCIE-Q3)
  6. Tho Chi Luong, Phuong Hong Le, Oanh Thi Tran*. A rich task-oriented dialogue corpus in Vietnamese. In Language Resources and Evaluation, 2022, download (SCIE-Q1)
  7. Oanh Thi Tran, Tung Thanh Nguyen. Predicting Hypertension based on Machine Learning Methods: A Case Study in Northwest Vietnam. In Mobile Networks and Applications, 2022 (to appear)(SCIE-Q2)
  8. Oanh Thi Tran, Viet The Bui. Neural text normalization in Speech-to-Text systems with rich features. Applied Artificial Intelligence. issue 3, volume 35, 2021. download.  (SCIE-Q3)
  9. Oanh Thi Tran, Tho Chi Luong. Understanding What the Users Say in Chatbots: A Case Study for the Vietnamese Language. The International Scientific Journal Engineering Applications of Artificial Intelligence. To appear 2019 (SCIE-Q1)
  10. Ngo Xuan Bach, Phan Duc Thanh, Tran Thi Oanh. Question Analysis towards a Vietnamese Question Answering System in the Education Domain. Journal of Cybernetics and Information Technologies, 20(1):112- 128. 2020. (SCOPUS-Q2) 
  1. Thi-Hai-Yen-Vuong, Thi-Thu Trinh, Hong-Duyen Ha and Xuan-Hieu Phan, Thi-Oanh Tran*. A Personalized Course Recommender System for Undergraduate Students.  International Journal of Learning and Teaching. Volume 5, No. 3, 2019
  2. Tran Thi Oanh, Nguyen Van Thanh. Understanding Students’ Learning Experiences through Mining User-Generated Contents on Social Media. Journal VNU of Science: Policy and Management Studies, vol.33, no. 2. pp 124-133,
  3. Thi-Oanh Tran, Hai-Trieu Dang, Viet-Thuong Dinh, Thi-Minh-Ngoc Truong, Thi-Phuong-Thao Vuong, Xuan-Hieu Phan. Performance Prediction for Students: A Multi-Strategy Approach.Journal of Cybernetics and Information Technologies, vol. 17, no.2, pp 164-182, June 2017. (SCOPUS-Q2)
  4. Oanh Thi Tran, Bach Xuan Ngo, Minh Le Nguyen, Akira Shimazu. Automated reference resolution in legal texts. Journal of Artificial Intelligence and Law, 22, no. 1, pp 29-60, March 2014. (SCIE-Q1)
  5. Ngo Xuan Bach, Nguyen Le Minh, Tran Thi Oanh, Akira Shimazu. A Two-Phase Framework for Learning Logical Structures of Paragraphs in Legal Articles. ACM Transactions on Asian Language Information Processing (ACM TALIP), vol. 12, no. 1, Article 3, March 2013. (SCIE-Q3)
  6. Oanh Thi Tran, Cuong Anh Le, Thuy Quang Ha. Improving Vietnamese Word Segmentation and POS Tagging using MEM with Various Kinds of Resources. Journal of Natural Language Processing; ISSN:1340-7619; vol.17; no.3; pages.41-60, 2010.

Published Papers:

  1. Oanh Thi Tran, Tho Chi Luong. Enhancing User Intent Detection in Chatbots through LLM Distillation. In proceedings of MAPR 2025 (to appear)
  2. Thuy-Linh Ngo, Phuong-Minh Ngo , Ha Linh T Nguyen, Doan-Dong Nguyen and Thi-Oanh Tran. Recognizing Students’ Emotions in Vietnamese Social Media Platforms. In proceedings of ICIAI 2025 (to appear)
  3. Anh Que Thi Vu, Trang Thuy Do, Diep Ngoc Bui, and Oanh Thi Tran. Detecting Youth Mental Health Issues on Social Media with Deep Learning. In proceedings of ICIAI 2025 (to appear)
  4. Linh Thuy Ngo, Dong Doan Nguyen, Oanh Thi Tran. Detecting Discussion Topics among Students on Vietnamese Social Media Platforms Using Deep Learning. In 4th international Conference on Applied Mathematics & Computer Science (ICAMCS2024).
  5. Vu Thi Que Anh, Tran Thi Oanh. Enhancing Vietnamese Stance Detection: Overcoming BERT Token Limits by Leveraging Text Summarization. In Proceedings of The 16th IEEE International Conference on Knowledge and Systems Engineering (KSE 2024).
  6. Tho Chi Luong, Oanh Thi Tran. Dialog Act Segmentation and Classification in Vietnamese. In Proceedings of Computing Conference, 2022 (to appear).
  7. Viet The Bui, Oanh Thi Tran. Punctuation Prediction in Vietnamese ASRs using Transformer-based Models. (to appear). In Proceedings of the 18th Pacific Rim International Conference on Artificial Intelligence (PRICAI), pp. 191-204, 2021.
  8. Oanh Thi Tran, Ly Phuong Nguyen. Trainee Churn Prediction using Machine Learning: A Case Study of Data Scientist Job? In the Proceedings of Computing4Human: The 2nd international conference on human-centered artificial intelligence (Computing4Human), pp. 74-82, 2021.
  9. Oanh Thi Tran, Trang Thanh Dao, Yen Ngoc Dang. Stance Detection on Vietnamese Social Media. In: Abraham A. et al. (eds) Proceedings of the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021). SoCPaR 2021. Lecture Notes in Networks and Systems, vol 417. Springer, Cham, pp 75-85. https://doi.org/10.1007/978-3-030-96302-6_7
  10. Oanh Thi Tran, Thuong Thi Hoai Van, Linh Ta Tai. Learning Students’ Intents for Better Conversations. In: Abraham A. et al. (eds) Proceedings of the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021). SoCPaR 2021. Lecture Notes in Networks and Systems, vol 417. Springer, Cham, pp 462-472. https://doi.org/10.1007/978-3-030-96302-6_43
  11. Oanh Thi Tran, Viet The Bui. A BERT-based Hierarchical Model for Vietnamese Aspect Based Sentiment Analysis. In the proceedings of the 12th IEEE International Conference on Knowledge and System Engineering (KSE 12), pp. 269-274, 2020 .
  12. Viet The Bui, Oanh Thi Tran, Hong-Phuong Le. Improving Sequence Tagging for Vietnamese Text using Transformer-based Neural Models. In the proceedings of the 34th Pacific Asia Conference on Language, Information and Computation (PACLIC 34), 2020.
  13. Oanh Thi Tran, Tu Minh Pham, Vu Dang Hoang, Bang Ba Xuan Nguyen. Introducing a Large-Scale Dataset for Vietnamese POS Tagging on Conversational Texts. Proceedings of the 12th Language Resources and Evaluation Conference (LREC). Marseille, France, 2020, pp. 3906-3914.
  14. Tran Thi Oanh. Attentive biLSTMs for Understanding Students’ Learning Experiences. In Proceedings of the 6th International Conference on Computer Science, Applied Mathematics and Applications (ICCSAMA 2019), Hanoi, Vietnam 2019.
  15. Tran Thi Oanh, Luong Chi Tho. Towards Understanding User Requests in AI Bots. In Proceedings of the 15th Pacific Rim International Conference on Artificial Intelligence (PRICAI), pp. 864-877 , Nanjing, China, August 2018. Part of the Lecture Notes in Computer Sciencebook series (LNCS, volume 11012) (Nominated for the best paper award)
  16. Ngo Xuan Bach, Tran Thi Oanh, Nguyen Trung Hai, Tu Minh Phuong. Paraphrase Identification in Vietnamese Documents. In Proceedings of the 7th International Conference on Knowledge and Systems Engineering (KSE), pp. 174-179, Ho Chi Minh City, Vietnam, October 2015.
  17. Oanh Thi Tran, Bach Xuan Ngo, Minh Le Nguyen, Akira Shimazu. Answering Legal Questions by Mining References Information. In Proceedings of the 7th International Workshop on Juris-informatics (JURISIN), lecture Note in Artificial Intelligence, 2013.
  18. Oanh Thi Tran, Bach Xuan Ngo, Minh Le Nguyen, Akira Shimazu. Reference Resolution in Japanese Legal Texts at Passage Levels. In Proceedings of the 5th International Conference on Knowledge and Systems Engineering (KSE), Springer-Verlag, Vietnam, pages 237-249 , 2013.
  19. Oanh Thi Tran, Minh Le Nguyen, Akira Shimazu. Reference Resolution in Legal Texts. In Proceedings of the 14th International Conference on Artificial Intelligent and Law (ICAIL), pages 101-110, Rome, Italy, June 2013. (Best student paper award)
  20. Oanh Thi Tran, Bach Xuan Ngo, Minh Le Nguyen, Akira Shimazu. A Listwise Approach to Coreference Resolution in Multiple Languages. In Proceedings of the 25th Pacific Asia Conference on Language, Information and Computation (PACLIC), Singapore, pages 400-409, 2011.
  21. Ngo Xuan Bach, Nguyen Le Minh, Tran Thi Oanh, Akira Shimazu. Learning Logical Structures of Paragraphs in Legal Articles. In Proceedings of the 5th International Joint Conference on Natural Language Processing (IJCNLP), Thailand, pages 20-28, 2011.
  22. Oanh Thi Tran, Cuong Anh Le, Thuy Quang Ha. Improving Vietnamese word segmentation by using multiple knowledge resources. In Proceedings of the international workshop on Empirical Methods for Asia Language Processing (EMALP), PRICAI 2008, Vietnam, pages 1-12. (2008)
  23. Oanh Thi Tran, Cuong Anh Le, Thuy Quang Ha, Quynh Hoang Le. An experimental study on Vietnamese POS tagging. In Proceedings of the International Conference on Asia Language Processing (IALP), Singapore, pages 23-27, 2009.
  24. Vu Mai Tran, Vinh Duc Nguyen, Uyen Thu Pham, Oanh Thi Tran, Thuy Quang Ha. An experimental study of Vietnamese question ansering system. In Proceedings of the International Conference on Asia Language Processing (IALP), Singapore, pages 152-155, 2009.

Projects

  1. 2015: Leader of the local project “Paraphrase Identification in Vietnamese Documents”, hosted by IS-VNUH.
  2. 2019-2020: Leader of the VNUH project “On the research and development of an automatic question answering system about VNU Hanoi. This project focused on researching and developing a conversational question answering system targeted to answering information about the training programs, the scientific research activities and the organizational structure of VNU Hanoi. To this end, the authors built corresponding modules of the system including: the named entity recognition model, the intent detection model in the education field, the dialog management, and the natural language generation models. This information will be used in the answer extraction step to retrieve answer for each question come from users. These achievements were integrated to build a demonstration QA system working on Web-based platform
  1. 2020-2021: Leader of the local project “On the research and development of pre-trained models based on big amount of unlabeled data and applications of improving natural language understanding problems”. This project focused on building a language model for Vietnamese using large unlabeled data. The resulting model helps to improve the performance of many downstream NLP tasks.
  1. 2004-2005: Leader of the local project “A Reinforcement Learning paradigm for Vietnamese aspect based senstiment analysis”. This project focused on building an RL paradigm to solve the ABSA task. The experimental results showed the effectiveness of the proposed method in comparison to the conventional machine learning approach.

Reports

  1. Nguyen Cam Tu, Tran Thi Oanh, Ha Quang Thuy, Phan Xuan Hieu. Named Entity Recognition in Vietnamese Free-Text and Web Documents Using Conditional Random Fields. National Conference of Communication and Information Technology, Hai Phong, Vietnam 2005 (in Vietnamese).
  2. Dang Thanh Hai, Tran Thi Oanh, Ha Quang Thuy. Co-training algorithms with neighbor texts for Web pages classification. Report at National Conference of Communication and Information Technology, Nha Trang, Vietnam, 2007.
  3. Tran Thi Oanh, Le Anh Cuong, Ha Quang Thuy. Vietnamese word segmentation by using multiple knowledge recourses. Report at National Conference of Communication and Information Technology, Hue, Vietnam, 2008.

Tìm kiếm