Papers by Ngan Luu-Thuy Nguyen
EduPulse: A Practical LLM-Enhanced Opinion Mining System for Vietnamese Student Feedback in Educational Platforms (2026.eacl-industry)
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| Challenge: | EduPulse is a system designed specifically to analyze student feedback in Vietnamese. |
| Approach: | They propose a system that analyzes student feedback in Vietnamese to improve opinion mining. |
| Outcome: | The proposed system performs four opinion analysis tasks in Vietnamese . it is scalable and maintainable, and it is cost-effective, the authors show . |
ViHOS: Hate Speech Spans Detection for Vietnamese (2023.eacl-main)
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| Challenge: | Increasing use of social networking sites can cause problems for human moderators to review tagged comments. |
| Approach: | They present a dataset that contains 26k spans on 11k comments and detailed annotation guidelines . they also provide definitions of hateful and offensive spans in Vietnamese comments . |
| Outcome: | The proposed dataset shows that it is difficult to detect specific types of spans in the dataset . the dataset is the first human-annotated corpus containing 26k spans on 11k comments . |
Revealing Weaknesses of Vietnamese Language Models Through Unanswerable Questions in Machine Reading Comprehension (2023.eacl-srw)
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| Challenge: | Existing problems in Vietnamese Machine Reading Comprehension systems are limited due to multilinguality, which limits the ability of multilingual models to develop state-of-the-art systems. |
| Approach: | They propose to modify the process of annotating unanswerable questions to improve the quality of unanswered questions to a higher level of difficulty for Machine Reading Comprehension systems to solve. |
| Outcome: | The proposed modification improves the quality of unanswerable questions to a higher level of difficulty for Machine Reading Comprehension systems to solve. |
ViNLI: A Vietnamese Corpus for Studies on Open-Domain Natural Language Inference (2022.coling-1)
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| Challenge: | a large-scale corpus is needed for studies on natural language inference (NLI) for Vietnamese, which can be considered a low-resource language. |
| Approach: | They propose a corpus for evaluating Vietnamese natural language inference models . they use a human-annotated corpus extracted from more than 800 online news articles . |
| Outcome: | The ViNLI corpus is created and evaluated with a strict process of quality control . the best system performance is still far from human performance (a 14.20% gap in accuracy). |