IIIDYT at IEST 2018: Implicit Emotion Classification With Deep Contextualized Word Representations

Jorge Balazs, Edison Marrese-Taylor, Yutaka Matsuo
2018 Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis  
In this paper we describe our system designed for the WASSA 2018 Implicit Emotion Shared Task (IEST), which obtained 2 nd place out of 30 teams with a test macro F1 score of 0.710. The system is composed of a single pre-trained ELMo layer for encoding words, a Bidirectional Long-Short Memory Network BiLSTM for enriching word representations with context, a max-pooling operation for creating sentence representations from them, and a Dense Layer for projecting the sentence representations into
more » ... el space. Our official submission was obtained by ensembling 6 of these models initialized with different random seeds. The code for replicating this paper is available at https://github.com/ jabalazs/implicit_emotion.
doi:10.18653/v1/w18-6208 dblp:conf/wassa/BalazsMM18 fatcat:zdccok5nbjhcxkgkhbkmlm4v2m