Identifying outlier opinions in an online intelligent argumentation system

• Main Authors: ARVAPALLY, R., LIU, X., NAH, Fiona Fui-hoon, JIANG, W.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2017
• Subjects: Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/9553
• Institution: Singapore Management University

Online argumentation systems enable stakeholders to post their problems under consideration and solution alternatives and to exchange arguments over the alternatives posted in an argumentation tree. In an argumentation process, stakeholders have their own opinions, which very often contrast and conf...