论文标题
HCMS在Semeval-2020任务9：用于混合文本的情感分析的神经方法
HCMS at SemEval-2020 Task 9: A Neural Approach to Sentiment Analysis for Code-Mixed Texts
论文作者
论文摘要
涉及混合语言的问题通常会受到缺乏资源和缺乏进行复杂转移学习的材料的困扰。在本文中，我们描述了我们对涉及代码混合文本的情感分类的Sentimix印地语任务的提交，而F1得分为67.1％，我们证明了简单的卷积和注意力很可能会产生合理的结果。
Problems involving code-mixed language are often plagued by a lack of resources and an absence of materials to perform sophisticated transfer learning with. In this paper we describe our submission to the Sentimix Hindi-English task involving sentiment classification of code-mixed texts, and with an F1 score of 67.1%, we demonstrate that simple convolution and attention may well produce reasonable results.
