no code implementations • COLING 2018 • Ahmed Husseini Orabi, Mahmoud Husseini Orabi, Qianjia Huang, Diana Inkpen, David Van Bruwaene
In this paper, we propose a novel deep-learning architecture for text classification, named cross segment-and-concatenate multi-task learning (CSC-MTL).
no code implementations • COLING 2018 • Qianjia Huang, Diana Inkpen, Jianhong Zhang, David Van Bruwaene
This paper describes the process of building a cyberbullying intervention interface driven by a machine-learning based text-classification service.
no code implementations • SEMEVAL 2018 • Ahmed Husseini Orabi, Mahmoud Husseini Orabi, Diana Inkpen, David Van Bruwaene
We propose a novel attentive hybrid GRU-based network (SAHGN), which we used at SemEval-2018 Task 1: Affect in Tweets.