I2C在SemEval-2020任务12:简单而有效的Twitter攻击性语音检测方法

Victoria Pachón Álvarez, Jacinto Mata Vázquez, José Manuel López Betanzos, José Luis Arjona Fernández
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引用次数: 0

摘要

本文描述了为I2C小组开发的系统,用于在OffensEval (SemEval 2020的任务12)中参与英语的子任务A和B,以及土耳其语和阿拉伯语的子任务A。在我们的实验中,我们比较了我们开发的三种架构,两种基于Transformer,另一种基于经典机器学习算法。本文描述了所提出的体系结构,并给出了我们的系统所获得的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
I2C at SemEval-2020 Task 12: Simple but Effective Approaches to Offensive Speech Detection in Twitter
This paper describes the systems developed for I2C Group to participate on Subtasks A and B in English, and Subtask A in Turkish and Arabic in OffensEval (Task 12 of SemEval 2020). In our experiments we compare three architectures we have developed, two based on Transformer and the other based on classical machine learning algorithms. In this paper, the proposed architectures are described, and the results obtained by our systems are presented.
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