GenSMT at SemEval-2019 Task 3: Contextual Emotion Detection in tweets using multi task generic approach

Dumitru Bogdan
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引用次数: 1

Abstract

In this paper, we describe our participation in SemEval-2019 Task 3: EmoContext - A Shared Task on Contextual Emotion Detection in Text. We propose a three layer model with a generic, multi-purpose approach that without any task specific optimizations achieve competitive results (f1 score of 0.7096) in the EmoContext task. We describe our development strategy in detail along with an exposition of our results.
任务3:使用多任务通用方法在推文中进行上下文情感检测
在本文中,我们描述了我们参与SemEval-2019任务3:EmoContext——文本中上下文情感检测的共享任务。我们提出了一个三层模型,该模型具有通用的多用途方法,无需任何特定于任务的优化,即可在EmoContext任务中获得竞争性结果(f1分数为0.7096)。我们详细描述了我们的发展战略,并阐述了我们的成果。
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