Research on interactions between
computers and human languages
Natural language processing (NLP) is a branch of artificial intelligence concerned with interactions
between computers and human languages. Our research covers the key components of NLP,
including question answering systems, machine reading comprehension, dialogue systems,
text analysis, and corpus creation.
Text Analytics
By utilizing natural language processing technology, text-based services such as topic classification, text summary, and sentiment analysis can be provided, and work efficiency can be improved.
Components of a TA engine
Multimodal Deep Learning
AI learns from data of various modalities by imitating human cognitive learning methods. This technology is used in AI services for seamless collaboration with humans.
Multimodal Overview Architecture
Research
papers
Yoonjong Choe et al., 2021, “Personalized Recipe Recommendation Service Using Food2Vec,” 2021 Fall Conference of the Korea Society of IT Services
DownloadSeungkyu Jo et al, 2021, “Design and Development of Outdoor Advertising Media Recommendation Service Using Deep Interest Network,” 2021 Fall Conference of the Korea Society of IT Services
DownloadHyeyoung Moon et al., 2021, “B2B Recommendation System Based on Customer Behavior Analysis Using Deep Learning,” 2021 Fall Conference of the Korea Society of IT Services
DownloadSanggi Ryu et al., 2021, "Development of Offline Outdoor Advertising Recommendation System Using Negative Sampling and Deep Interest Network," 2021 Spring Joint Conference of the Korean Institute of Industrial Engineers
DownloadPatent
applications
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