Search Results for "-㈜구글-상단-노출[텔레 hhu9999]광고대행사전문첫페이지상단광고1등㎘구글찌라시부산달리기／찌라시광고찌라시광고┷.aga.-.scw"
Kazi Sajeed Mehrab
Kazi Sajeed Mehrab is a Ph.D. student in the Department of Computer Science. He is advised by Anuj Karpatne. His broader research interest lies in the field of multimodal deep learning and artificial intelligence. Currently, Mehrab is exploring techniques to leverage graph, image and textual data in scientific applications to achieve improved explainability and generalizability of […]
Text Mining-based Social-Psychological Vulnerability Analysis of Potential Victims To Cybergrooming: Insights and Lessons Learned
Zhen Guo, Pei Wang, Jin-Hee Cho, Lifu Huang: Text Mining-based Social-Psychological Vulnerability Analysis of Potential Victims To Cybergrooming: Insights and Lessons Learned. WWW (Companion Volume) 2023: 1381-1388
SHARE ON Understand the Dynamic World: An End-to-End Knowledge Informed Framework for Open Domain Entity State Tracking
Mingchen Li, Lifu Huang: Understand the Dynamic World: An End-to-End Knowledge Informed Framework for Open Domain Entity State Tracking. SIGIR 2023: 842-851
Learning from a Friend: Improving Event Extraction via Self-Training with Feedback from Abstract Meaning Representation
Zhiyang Xu, Jay Yoon Lee, Lifu Huang: Learning from a Friend: Improving Event Extraction via Self-Training with Feedback from Abstract Meaning Representation. ACL (Findings) 2023: 10421-10437
Teamwork Is Not Always Good: An Empirical Study of Classifier Drift in Class-incremental Information Extraction
Minqian Liu, Lifu Huang: Teamwork Is Not Always Good: An Empirical Study of Classifier Drift in Class-incremental Information Extraction. ACL (Findings) 2023: 2241-2257