Research Areas
Home > Research > Research Areas
Natural Language Processing
Natural Language Processing
Our laboratory conducts a variety of research related to natural language processing, such as benchmark dataset generation, algorithm research, and applications.
Benchmark dataset generation: ESG dataset, Korean fake news dataset, modified dialogue state tracking dataset, etc.
Algorithm research: pre-trained model, attention model, hierarchical model, graph neural network, etc.
Application: financial market, healthcare, etc.
Machine Learning for Finance
Machine Learning for Finance
Our laboratory conducts research to extract meaningful information by applying machine learning methodologies to financial markets, including stock and bond markets.