Expertise style transfer: A new task towards better communication between experts and laymen

• Main Authors: CAO, Yixin, SHUI, Ruihao, PAN, Liangming, KAN, Min-Yen, LU, Zhiyuan, CHUA, Tat-Seng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Databases and Information Systems; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/7449; https://ink.library.smu.edu.sg/context/sis_research/article/8452/viewcontent/2020.acl_main.100.pdf
• Institution: Singapore Management University

The curse of knowledge can impede communication between experts and laymen. We propose a new task of expertise style transfer and contribute a manually annotated dataset with the goal of alleviating such cognitive biases. Solving this task not only simplifies the professional language, but also impr...