Lab Info
Advanced Neural-nets and Topic-models (ANT) laboratory belongs to the department of Bigdata engineering in SoonChunHyang University, South Korea.
The lab has two main research area: "information extraction" and "text mining", where focused technologies are deep learning and topic modeling.
Research Area
- Korean ML, Korean TimeBank, and Temporal Information Extraction from Korean Texts
- Intelligent & Emotional Conversational System
- Out-of-domain (OOD) Detection
- CalNet: Neural Networks for Arithmetics
- Document Summarization
- Topic Comprehension by RNN
Projects
- Slot Normalizer, 2017.1 ~ 2017.6, Naver corporation
- Out-Of-Domain Detection, 2017.3 ~ 2020.2, NRF
- Enbot project, 2018.10 ~ 2019.1, Soonchunhyang Univ.
- Industry/Job code classification using deep laerning, 2018.9 ~ 2020.9, MSS
Demos
The demo links may not be available if it is on update process
- Korean Temporal-Information Extraction from Korean Texts [LINK]
- Grade(score) notice program[LINK]
- Slot-Normalizer[LINK]
- Dialog system[LINK]
- Chatbot[LINK]
- News-feed show of department[LINK]
Reports (data analysis)
- Analysis of Relationship between Length of News Article and Sentiment, 2018.3 [PDF]