AttnConvnet at SemEval-2018 Task 1: Attention-based Convolutional Neural Networks for Multi-label Emotion Classification
Yanghoon Kim, Hwanhee Lee, Kyomin Jung · 2018
In this paper, we propose an attention-based classifier that predicts multiple emotions of a given sentence.Our model imitates human's two-step procedure of sentence understanding and it can effectively represent and classify sentences.With emoji-to-meaning preprocessing and extra lexicon utilization, we further improve the model performance.We train and evaluate our model with data provided by SemEval-2018 task 1-5, each sentence of which has several labels among 11 given emotions.Our model achieves 5th/1st rank in English/Spanish respectively.