Publications

Google citation: https://scholar.google.com.vn/citations?user=ASd5leYAAAAJ&hl=vi

DBLP: http://dblp.uni-trier.de/search?q=minh-tien+nguyen

ResearchGate: https://www.researchgate.net/profile/Minh_Tien_Nguyen2

Peer-reviewed Articles

1. Pham Quoc-Hung, Huu-Loi Le, Dang Nhat Minh, Khang T. Tran, Manh Tran-Tien, Viet-Hung Dang, Huy-The Vu, Minh-Tien Nguyen, and Xuan-Hieu Phan, "Towards Vietnamese Question and Answer Generation: An Empirical Study", ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), 2024 (accepted).

2. Bui Duc Tho, Minh-Tien Nguyen, Dung Tien Le, Linh-Lung Ying, Shumpei Inoue, Tri-Thanh Nguyen, "Improving Biomedical Named Entity Recognition with Additional Contexts", Journal of Biomedical Informatics (JBIN), Vol. 156, 104674, 2024.

3. Pham Van Duong, Tien-Dat Trinh, Minh-Tien Nguyen, Huy-The Vu, Minh Chuan Pham, Tran Manh Tuan, Le Hoang Son, "ViMedNER: A Medical Named Entity Recognition Dataset for Vietnamese", EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 2024 (accepted).

4. Le Thang, Minh-Tien Nguyen, Nhat-Minh Do, Chi-Thanh Nguyen, Quang-Minh Le, "Improving Extractive Summarization with Knowledge Injection", Vietnam Journal of Science and Technology, 2024 (accepted).

5. Van-Hau Nguyen, Son T. Mai, Minh-Tien Nguyen, "Learning to Summarize Multi-documents with Local and Global Information", Progress in Artificial Intelligence (PRAI), 12, pp. 275-286, 2023. https://doi.org/10.1007/s13748-023-00302-z.

6. Minh-Tien Nguyen, Nguyen Hong Son, and Linh Thai Le, "Gain More with Less: Extracting Information from Business Documents with Small Data", Expert Systems with Applications (ESWA), 119274, 2022.

7. Huy-The Vu, Minh-Tien Nguyen, Van-Chien Nguyen, Minh-Hieu Pham, Van-Quyet Nguyen, and Van-Hau Nguyen, "Label Representative Graph Convolutional Network for Multi-Label Text Classification", Applied Intelligence (APIN), 2022. https://doi.org/10.1007/s10489-022-04106-x.

8. Minh-Tien Nguyen, Tri-Thanh Nguyen, Asanobu Kitamoto, and Van-Hau Nguyen, "Exploiting Social Networks as a Live Mass Media Channel During Disasters for Reactions", International Journal  on Artificial Intelligence Tools (IJAIT), 30(05), 2150024, 2021.

9. Minh-Tien Nguyen, Dung Tien Le, Le Thai Linh, "Transformer-based Information Extraction with Limited Data for Domain-specific Business Documents", Engineering Applications of Artificial Intelligence (EAAI), 97(2021): 104100, 2021.

10. Minh-Tien Nguyen, Viet Cuong Tran, Xuan Hoai Nguyen, Le-Minh Nguyen, "Web Document Summarization by Exploiting Social Context with Matrix Co-factorization", Information Processing & Management (IPM), 56(3), pp. 495-515, January 2019.

11. Minh-Tien Nguyen, Duc-Vu Tran, Minh-Le Nguyen, and Xuan-Hieu Phan, "Exploiting User Posts for Web Document Summarization", ACM Transactions on Knowledge Discovery from Data (TKDD) 12(4), 49, June 2018.

12. Minh-Tien Nguyen, Duc-Vu Tran, and Minh-Le Nguyen. "Social Context Summarization using User-generated Content and Third-party Sources", Knowledge-Based Systems (KNOSYS), 144(2018), pp. 51-64, December 2017.

13. Minh-Tien Nguyen, Duc-Vu Tran, Xuan-Chien Tran, and Minh-Le Nguyen. "Exploiting User-generated Content to Enrich Web Document Summarization", International Journal  on Artificial Intelligence Tools (IJAIT), 26(5), pp. 1-26, October 2017.

14. Minh-Tien Nguyen and Minh-Le Nguyen. "Intra-relation or Inter-relation?: Exploiting Social Information for Web Document Summarization", Expert Systems with Applications (ESWA), 76, pp. 71-84,  Jan 2017.

15. Minh-Tien Nguyen and Tri-Thanh Nguyen. “DESRM: a Disease Extraction System for Real- time Monitoring”, Int. J. of Computational Vision and Robotics (IJCVR),  5(3), pp. 282-301,  2015. DOI: 10.1504/IJCVR.2015.071341.

16. Minh-Tien Nguyen, Mai-Vu Tran, Tri-Thanh Nguyen. "A Combination of Semantic Rule and Machine Learning for Disease Event Classification", Journal of Scientific Research and Military Technology, pp. 50-58, 2012. (Vietnamese).

Peer-reviewed Conference Papers

Papers in 2024

1. Linh Le, Minh-Tien Nguyen, Khai Tran, Genghong Zhao, Xia Zhang, Guido Zuccon, Gianluca Demartini, "Stochastic Featurization for Active Learning", The Second International Workshop on Trustworthy Artificial Intelligence for Healthcare (TAI4H), International Joint Conference on Artificial  Intelligence (IJCAI), 2024 (accepted).

Papers in 2023

2. Shumpei Inoue, Minh-Tien Nguyen, Hiroki Mizokuchi, Tuan-Anh D. Nguyen, Huu-Hiep Nguyen and Dung Le, "Towards Safer Operations: An Expert-involved Dataset of High-Pressure Gas Incidents for Preventing Future Failures", In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track, pp. 509-521, 2023.

3. Manh Tran-Tien, Huu-Loi Le, Dang Nhat Minh, and Tran Trung Khang, Huy-The Vu, and Minh-Tien Nguyen, "ViPubmedDeBERTa: A Pre-trained Model for Vietnamese Medical Text", In Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation, pp. 831-840, 2023.

4. Pham Quoc-Hung, Huu-Loi Le, Dang Nhat Minh, Khang T. Tran, Huy-The Vu, Minh-Tien Nguyen, and Xuan-Hieu Phan, "Question Generation: An Experimental Study for Vietnamese Text", 2023 RIVF International Conference on Computing and Communication Technologies (RIVF), pp. 324-329, 2023.

5. Bui Duc Tho, Son-Ba Giang, Minh-Tien Nguyen, and Tri-Thanh Nguyen, "An Architecture for More Fine-grained Hidden Representation in Named Entity Recognition for Biomedical Texts", In International Conference on Advances in Information and Communication Technology, pp. 114-125, 2023.

6. Hy Nguyen, Minh-Tien Nguyen, Phuoc Trinh, and Chau Thanh Duc, "Cinnalyst: A Sales Meeting Analysis System",  In 2023 15th International Conference on Knowledge and Systems Engineering (KSE), pp. 1-6, 2023.

7. Dung-Tien Le, Minh-Tien Nguyen, Hiroyuki Hoshiko, Banri Kitamura, Motoshige Takagi, Ngo Hoang Nam, "Extracting PICO Elements from Medical Articles with Label Information and Pre-trained Language Models", Research Report Natural Language Processing (NL), Vol. 2023-NL-257, No. 10, pp. 1 - 7, 2023.

8. Nguyen Huu Hiep and Minh-Tien Nguyen, "Emotion-Cause Pair Extraction as Question Answering", In Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART, pp. 988-995, 2023.

Papers in 2022

9. Shumpei Inoue, Hy Nguyen, Pham Viet Hoang, Tsungwei Liu, and Minh-Tien Nguyen, "Meeting Decision Tracker: Making Meeting Minutes with De-contextualized Utterances", In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (AACL-IJCNLP): System Demonstrations, pp. 88-94, 2022.

10. Chau Nguyen, Minh-Quan Bui, Dinh-Truong Do, Nguyen-Khang Le, Dieu-Hien Nguyen, Thu-Trang Nguyen, Ha-Thanh Nguyen, Vu Tran, Le-Minh Nguyen, Ngoc-Cam Le, Thi-Thuy Le, Minh-Phuong Nguyen, Tran-Binh Dang, Truong-Son Nguyen, Viet-Anh Phan, Thi-Hai-Yen Vuong, Minh-Tien Nguyen, Tung Le, and Tien-Huy Nguyen, "ALQuac 2022: A Summary of the Competition", 2022 14th International Conference on Knowledge and Systems Engineering (KSE), pp. 1-5, 2022. doi: 10.1109/KSE56063.2022.9953764.

11. Bao-Sinh Nguyen, Dung Tien Le, Hieu M. Vu, Tuan-Anh D. Nguyen, Minh-Tien Nguyen, and Hung Le, "Improving Document Image Understanding with Reinforcement Finetuning", (ICONIP), pp. 51-63, 2022.

12. Shumpei Inoue, Tsungwei Liu, Nguyen Hong Son, and Minh-Tien Nguyen, "Enhance Incomplete Utterance Restoration by Joint Learning Token Extraction and Text Generation", 2022 Annual Conference of the North American Chapter of the Association for Computational Linguishtics (NAACL), pp. 3149-3158, 2022

13. Duy-Hung Nguyen, Nguyen Viet Dung Nghiem, Bao-Sinh Nguyen, Dung Tien Le, Shahab Sabahi, Minh-Tien Nguyen, Hung Le, "Make The Most of Prior Data: A Solution for Interactive Text Summarization with Preference Feedback", 2022 Annual Conference of the North American Chapter of the Association for Computational Linguishtics (NAACL): Findings, pp. 1919-1930, 2022.

14. Nguyen Hong Son, Hieu M. Vu, Tuan-Anh D. Nguyen, and Minh-Tien Nguyen "Jointly Learning Span Extraction and Sequence Labeling for Information Extraction from Business Documents", The International Joint Conference on Neural Networks (IJCNN), pp. 1-8, 2022.

15. Huy-The Vu, Minh-Tien Nguyen, Van-Chien Nguyen, Manh Tran-Tien, and Van-Hau Nguyen, "Label Correlation Based Graph Convolutional Network for Multi-label Text Classification", The International Joint Conference on Neural Networks (IJCNN), pp. 1-8, 2022.

Papers in 2021

16. Duy-Hung Nguyen, Bao-Sinh Nguyen, Nguyen Viet Dung Nghiem, Dung Tien Le, Mim Amina Khatun, Minh-Tien Nguyen, and Hung Le, "Robust Deep Reinforcement Learning for Extractive Legal Summarization", The 28th International Conference on Nueral Information Processing (ICONIP), pp. 597-604, 2021.

17. Minh-Tien Nguyen, Manh Tran-Tien, Viet-Anh Phan, Huy-The Vu, and Van-Hau Nguyen, "Building a Chatbot for Supporting the Admission of Universities", The 13th IEEE International Conference on Knowledge and Systems Engineering (KSE), pp. 1-6, 2021.

18. Viet-Anh Phan, Minh-Tien Nguyen, Lam Bui Thu, and Phong Dao Ngoc, "Improving the Readability of Unformatted Text using Multitask Attention Networks", The 13th IEEE International Conference on Knowledge and Systems Engineering (KSE), pp. 1-6, 2021.

19. Tuan-Anh D. Nguyen, Hieu M. Vu, Hong Son Nguyen, and Minh-Tien Nguyen, "A Span Extraction Approach for Information Extraction on Visual-rich Documents", Document Analysis and Recognition - ICDAR 2021 Workshops, pp. 353-363, 2021. (best paper award).

20. Minh-Tien Nguyen, Le Thai Linh, Dung Tien Le, Nguyen Hong Son, Do Hoang Thai Duong, Bui Cong Minh, Shojiguchi Akira, "Information Extraction of Domain-specific Business Documents with Limited Data", The International Joint Conference on Neural Networks (IJCNN), pp. 1-8, July, 2021

21. Le Thai Linh, Minh-Tien Nguyen, Gianluca Demartini, Guido Zuccon, "Loss-based Active Learning for Named Entity Recognition", The International Joint Conference on Neural Networks (IJCNN), pp. 1-8, July, 2021.

Papers in 2020

22. Minh-Tien Nguyen, Van-Chien Nguyen, Huy-The Vu, Van-Hau Nguyen, "Transformer-based Summarization by Exploiting Social Information". The 12th IEEE International Conference on Knowledge and Systems Engineering (KSE), pp. 25-30, 2020.

23. Huy-The Vu, Van-Hau Nguyen, Van-Quyet Nguyen, Minh-Tien Nguyen, "Vietnamese Document Classification using Graph Convolutional Network". The 12th IEEE International Conference on Knowledge and Systems Engineering (KSE), pp. 171-176, 2020.

24. Minh-Tien Nguyen, Dung Tien Le, Nguyen Hong Son, Bui Cong Minh, Do Hoang Thai Duong, Le Thai Linh, "Understanding Transformers for Information Extraction with Limited Data". 34th Pacific Asia Conference on Language, Information and Computation (PACLIC), pp. 478-487, 2020.

25. Minh-Tien Nguyen, Dung Tien Le, Le Thai Linh, Nguyen Hong Son, Do Hoang Thai Duong, Bui Cong Minh, Nguyen Hai Phong, and Nguyen Huu Hiep, "AURORA: An Information Extraction System of Domain-specific Business Documents with Limited Data". Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM'20), pp. 3437-3440, October 19-23, 2020.

26. Minh-Tien Nguyen, Bui Cong Minh, Dung Tien Le, and Le Thai Linh, "Sentence Compression as Deletion with Contextual Embeddings", 12th International Conference on Computational Collective Intelligence, pp. 427-440, 2020.

Papers in 2019

27. Minh-Tien Nguyen, Tran Viet Cuong, Nguyen Xuan Hoai, "Exploiting User Comments for Document Summarization with Matrix Factorization", The Tenth International Symposium on Information and Communication Technology (SoICT), pp. 118-124, 2019.

28. Van-Hau Nguyen, Thanh-Chinh Nguyen, Minh-Tien Nguyen, Nguyen Xuan Hoai, "VNDS, A Vietnamese Dataset for Summarization", 6th NAFOSTED Conference on Information Computer Science (NICS), pp. 375-380, 2019.

29. Minh-Tien Nguyen, Duc-Vu Tran, Van-Hau Nguyen, "The Repository of Web Document Summarization using Social Information", The 11th International Conference on Knowledge and Systems Engineering (KSE), pp. 1-5, 2019.

30. Minh-Tien Nguyen, Viet-Anh Phan, Le Thai Linh, Nguyen Hong Son, Le Tien Dung, Miku Hirano, Hajime Hotta, "Transfer Learning for Information Extraction with Limited Data", 16th International Conference of the Pacific Association for Computational Linguistics (PACLING), pp. 469-482, 2019.

Papers in 2018

31. Dang Hoang Long, Minh-Tien Nguyen, Ngo Xuan Bach, Le-Minh Nguyen, and Tu Minh Phuong, "An Entailment-based Scoring Method for Content Selection in Document Summarization", The Ninth International Symposium on Information and Communication Technology (SoICT), pp. 122-129, 2018.

32. Minh-Tien Nguyen, Thi-Hai-Nang Nguyen, Hoang-Diep Nguyen, and Van-Hau Nguyen, "Learning to Estimate the Importance of Sentences for Multi-document Summarization", 10th International Conference on Knowledge and Systems Engineering (KSE), pp. 31-36, 2018.

33. Minh-Tien Nguyen, Hoang-Diep Nguyen, Thi-Hai-Nang Nguyen, and Van-Hau Nguyen, "Towards State-of-the-art Baselines for Vietnamese Multi-document Summarization", 10th International Conference on Knowledge and Systems Engineering (KSE), pp. 85-90, 2018.

34. Minh-Tien Nguyen, Duc-Vu Tran, Viet-Anh Phan, and Minh-Le Nguyen, "Towards Social Context Summarization with Convolutional Neural Networks", 19th International Conference on Computational Linguistics and Intelligent Text Processing (CICLING), pp. 341-353, 2018.

35. Minh-Tien Nguyen, Dac-Viet Lai, Tien-Huy Nguyen, and Minh-Le Nguyen, "TSix: A Human-involved-creation Dataset for Tweet Summarization", The 11th International Conference on Language Resources and Evaluation (LREC), pp. 3024-3028, 2018.

Papers in 2017

36. Minh-Tien Nguyen, Tran Viet Cuong, Nguyen Xuan Hoai, Minh-Le Nguyen, "Utilizing User Posts to Enrich Web Document Summarization with Matrix Co-factorization", The Eight International Symposium on Information and Communication Technology (SoICT), pp. 70-77, December,  2017. (best paper award).

37. Minh-Tien Nguyen, Duc-Vu Tran, Chien-Xuan Tran, and Minh-Le Nguyen, "Summarizing Web Documents using Sequence Labeling with User-generated Content and Third-party Sources", 22nd International Conference on Natural Language & Information Systems (NLDB), pp. 454-467, June 2017. Springer.

Papers in 2016

38. Minh-Tien Nguyen, Viet Dac Lai, Phong-Khac Do, Duc-Vu Tran, Minh-Le Nguyen. "VSoLSCSum: Building a Vietnamese Sentence-Comment Dataset for Social Context Summarization", In The 12th Workshop on Asian Language Resources associated with 26th International Conference on Computational Linguistics (COLING), pp. 38-48, December 2016. Association for Computational Linguistics.

39. Khac-Phong Do, Huy-Tien Nguyen, Chien-Xuan Tran, Minh-Tien Nguyen, Minh-Le Nguyen. "Legal Question Answering using Ranking SVM and Deep Convolutional Neural Network", Tenth International Workshop on Juris-informatics (JURISIN 2016) associated with JSAI International Symposia on AI 2016 (IsAI-2016), December 2016.

40. Minh-Tien Nguyen, Duc-Vu Tran, Chien-Xuan Tran, and Minh-Le Nguyen. "Learning to Summarize Web Documents using Social Information",  IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI), pp. 619-626, November 2016. IEEE.

41. Minh-Tien Nguyen, Viet-Anh Phan, Truong-Son Nguyen, and Minh-Le Nguyen. "Learning to Rank Questions for Community Answering with Ranking SVM", ECML/PKDD 2016 Discovery Challenge: Learning to Re-Rank Questions for Community Question Answering (http://arxiv.org/abs/1608.04185).

42. Minh-Tien Nguyen, Chien-Xuan Tran, Duc-Vu Tran, and Minh-Le Nguyen. "SoLSCSum: A Linked Sentence-Comment Dataset for Social Context Summarization",  25th ACM International on Conference on Information and Knowledge Management (CIKM), pp. 2409-2412, October 2016 . ACM.

43. Minh-Tien Nguyen and Minh-Le Nguyen. “SoRTESum: A Social Context Framework for Single-Document Summarization”,  38th European Conference on Information Retrieval (ECIR), pp. 3-14, March 2016. Springer.

44. Danilo Carvalho, Minh-Tien Nguyen, Chien-Xuan Tran, Le-Minh Nguyen. "Lexical-Morphological Modeling for Legal Text Analysis", Lecture Notes in Computer Science: New Frontiers in Artificial Intelligence, pp. 295-311 March 2016. Springer.

Papers in 2015

45. Minh-Tien Nguyen, Quang-Thuy Ha, Thi-Dung Nguyen, Tri-Thanh Nguyen and Le-Minh Nguyen. “Recognizing Textual Entailment in Vietnamese Text: An Experimental Study”,  The Seventh International Conference on Knowledge and Systems Engineering (KSE), pp. 108-113, October 2015. IEEE.

46. Minh-Tien Nguyen, Asanobu Kitamoto and Tri-Thanh Nguyen. “TSum4act: A Framework for Retrieving and Summarizing Actionable Tweets during a Disaster for Reaction”, 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pp. 64-75, May 2015. Springer.

Papers in 2013

47. Minh-Tien Nguyen and Tri-Thanh Nguyen. "Extraction of Disease Events for a Real-time Monitoring System", The Fourth International Symposium on Information and Communication Technology (SoICT), pp. 139-147, December 2013. ACM.

Papers in 2012

48. Mai-Vu Tran, Minh-Hoang Nguyen, Sy-Quan Nguyen, Minh-Tien Nguyen and Xuan-Hieu Phan. "VnLoc: A Real–time News Event Extraction Framework for Vietnamese", The Fourth International Conference on Knowledge and Systems Engineering (KSE), pp. 161-166, August 2012. IEEE.

Competitions:

1.  Competition on Legal Information Extraction/Entailment (COLIEE), November 14-15, 2016, Raiosha Building, Keio University Kanagawa, Japan (link).

2. ECML-PKDD 2016 Discovery Challenge: Learning to Re-Rank Question for Community Question Answering (top 2).

3. Competition on Legal Information Extraction/Entailment (COLIEE), November 16-18, 2015, Raiosha Building, Keio University Kanagawa, Japan (link) (top 3).

Others:

1. Minh-Tien Nguyen (2014). "Disease Event Extraction for a Real-time Monitoring System", Master Thesis, Vietnam National University (VNU), Hanoi, University of Engineering and Technology (UET) (Vietnamese).

2. Minh-Tien Nguyen (2009). "A Study of Web Document Classification", Bachelor Thesis, Hung Yen University of Education and Technology.