论文标题
BFCAI在Semeval-2022任务6：在阿拉伯文本中用于讽刺检测的多层感知器
BFCAI at SemEval-2022 Task 6: Multi-Layer Perceptron for Sarcasm Detection in Arabic Texts
论文作者
论文摘要
本文介绍了提交给ISARCASM共享任务的系统。 Isarcasm的目的是识别阿拉伯语和英语文本中的讽刺内容。我们的团队参加了阿拉伯语的Isarcasm。已经提交了基于多层机器学习的模型以进行阿拉伯讽刺检测。在此模型中，向量空间TF-IDF已被用作特征表示。提交的系统很简单，不需要任何外部资源。测试结果表明结果令人鼓舞。
This paper describes the systems submitted to iSarcasm shared task. The aim of iSarcasm is to identify the sarcastic contents in Arabic and English text. Our team participated in iSarcasm for the Arabic language. A multi-Layer machine learning based model has been submitted for Arabic sarcasm detection. In this model, a vector space TF-IDF has been used as for feature representation. The submitted system is simple and does not need any external resources. The test results show encouraging results.
