1) Information Retrieval and Natural Language Processing
Information Retrieval: Query expansion using Web resources / Social search
Knowledge Construction: Activity & situation knowledge construction / English-Korean commonsense knowledge construction
Various Kinds of Classification Problems: Sentiment & Mood classification on blogs, News Classification, Topic Classification (Literature, Patent, National Science & Technology Standard Code, etc).
NLP based Applications, such as text summarization, text generation, and machine translation
Personalization: User log/usage mining, user intent analysis
Development of Crawler Techniques for Large-scale Data Aggregation from the Web
Large-scale Language Modeling (e.g., BERT, Electra, GPT-2/GPT-3, and etc.) and their Optimizations
Polyglot, LLAMA1/2/3, Vicuna, Mistral and so on
Hybrid Knowledge Graph from Heterogeneous Knowledge Resources
Commonsense Reasoning with Large-scale LMs
Various Downstream Tasks based on Pretraining Models.
Knowledge Distillation and Multi-task Learning
Various Types of Document Layout Analysis
2) SW based Robotics
Cognitive Architecture & Knowledge Support for Human-Robot Interaction
Case-based Reasoning for Human-level Intelligence (or Domain Experts)
3) Service Platforms
Service Platform: Service registry, service composition, service mashup
Semantic Web: Semantic service annotation / Goal-based semantic service discovery
4) Public Health
Online Health Community Analysis based on NLP techniques
Medicine 2.0
Medical Big Data based Parkins Disease (PD) Estimation
Medical Big Data based Re-admission/Mortality Prediction
Clinical Decision Support System / Medical IR Systems
5) Artificial Intelligence (AI) and Machine Learning Stuffs
Semi-automatic Training Data Generation (e.g., News, Patents, Scientific Articles, Dialogues, etc.)
Classic Machine Learning Algorithms (SVM, S-SVM, CRFs, etc.)
Deep Learning (LSTM/GRU, CNN, Transformers) and Reinforcement Learning
Large-scale Knowledge Construction for Decision Making and Inference
Development of AI-based Applications
Transfer Learning
Korean Speech Recognition / Speech Synthesis
LLM based Applications
Generative AI (based various types of data sources or multi-modal)
6) Data Science and Data Fusion
Big Data Analysis for Heterogeneous Information Resources
Knowledge Mining from Unstructured/Semi-structured Texts
Data Fusion of Heterogeneous Knowledge Bases
Knowledge Population using Open (Government) Data
Semantic Knowledge Integration for Various Kinds of Data