Seunghak Yu
Search(US)Naver (South Korea)(KR)
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Misinformation and Its Impacts, Multimodal Machine Learning Applications, Speech and dialogue systems
Most-Cited Works
- → Fine-Grained Analysis of Propaganda in News Article(2019)274 cited
- → A Survey on Computational Propaganda Detection(2020)146 cited
- → Factor Graph Attention(2019)106 cited
- → Fine-Grained Analysis of Propaganda in News Articles(2019)95 cited
- → Ensemble-based deep reinforcement learning for chatbots(2019)82 cited
- → Scaling up deep reinforcement learning for multi-domain dialogue systems(2017)34 cited
- → Deep Reinforcement Learning for Multi-Domain Dialogue Systems(2016)31 cited
- → Supervised Clustering of Questions into Intents for Dialog System Applications(2018)31 cited
- → A Multi-Stage Memory Augmented Neural Network for Machine Reading Comprehension(2018)30 cited
- → Interpretable Propaganda Detection in News Articles(2021)27 cited