uOttawa at SemEval-2018 Task 1: Self-Attentive Hybrid GRU-Based Network

SEMEVAL 2018 Ahmed Husseini OrabiMahmoud Husseini OrabiDiana InkpenDavid Van Bruwaene

We propose a novel attentive hybrid GRU-based network (SAHGN), which we used at SemEval-2018 Task 1: Affect in Tweets. Our network has two main characteristics, 1) has the ability to internally optimize its feature representation using attention mechanisms, and 2) provides a hybrid representation using a character level Convolutional Neural Network (CNN), as well as a self-attentive word-level encoder... (read more)

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