NATURAL LANGUAGE PROCESSING AND KNOWLEDGE DISCOVERY
RESEARCH GROUP (NLP-KD)
Introduction
The Natural Language Processing and Knowledge Discovery (NLP-KD) research group focuses on cutting-edge research in the mining and processing of text and natural language data, particularly in Vietnamese and multilingual contexts. The group’s work is centered around two main research directions:
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Natural Language Processing and Multimodal Data:
Developing deep learning models and Large Language Models (LLMs) to efficiently process text, image, audio, and video data. Key research topics include Vietnamese and multilingual language understanding models, intelligent conversational systems, chatbots, sentiment analysis, knowledge extraction, and information integration from multimodal data.
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Knowledge Mining and AI Applications in Interdisciplinary Fields:
Applying artificial intelligence and machine learning to extract knowledge from big data across various domains such as economics, business, finance, healthcare, and education. The group focuses on building intelligent systems for analysis, prediction, and decision-making, thereby supporting digital transformation in organizations and enterprises.
Our team working on innovative NLP solutions.
Our Work & Environment
Visual highlights from our research activities, lab environment, and team collaborations.
Scientific Research Publication and Research Training Capacity
The research group has published numerous international articles in ISI/SCIE journals and at leading conferences in the fields of Artificial Intelligence (AI), Natural Language Processing (NLP), and Data Science. Key research directions include intelligent conversational systems, recommendation systems, natural language processing, deep learning, computer vision, and biomedical data analysis. Currently, many PhD candidates, master’s students, and undergraduates are actively participating in research at laboratories affiliated with the group.
Projects and Collaboration
Members of the research group are leading various research topics and projects at multiple levels, ranging from institutional to national and international. In addition to academic activities, the group actively promotes technology transfer, applying research outcomes in practical settings within both domestic and international enterprises and organizations.