ACM AICCC'18 Best Paper Prize for Paper 'Stop Illegal Comments A Multi-Task Deep Learning Approach'
ACM AICCC'18 Best Paper Prize for Paper 'Stop Illegal Comments A Multi-Task Deep Learning Approach'
Jan 15, 2019
The paper "Stop Illegal Comments: A Multi-Task Deep Learning Approach" was presented at the ACM 2018 Artificial Intelligence and Cloud Computing Conference (AICCC 2018), Tokyo, Japan. The authors (Ahmed Elnaggar, Bernhard Waltl, Ingo Glaser, Jörg Landthaler, Elena Scepankova and Florian Matthes) outperformed the state of the art results in detecting illegal comments using transfer learning and multi-task deep learning approach. The paper has won the best paper prize for AI and Machine Learning (first place).