Federated learning for personalized humor recognition

• Main Authors: Guo, Xu, Yu, Han, Li, Boyang, Wang, Hao, Xing, Pengwei, Feng, Siwei, Nie, Zaiqing, Miao, Chunyan
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Computer science and engineering; Natural Language Understanding; Personalization
• Online Access: https://hdl.handle.net/10356/170460
• Institution: Nanyang Technological University

Computational understanding of humor is an important topic under creative language understanding and modeling. It can play a key role in complex human-AI interactions. The challenge here is that human perception of humorous content is highly subjective. The same joke may receive different funniness...