iCompass WANLP 2022共享任务:ARBERT和MARBERT对阿拉伯语推文的多标签宣传分类

Workshop on Arabic Natural Language Processing Pub Date : 1900-01-01 DOI:10.18653/v1/2022.wanlp-1.59

B. Taboubi, Bechir Brahem, H. Haddad

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引用次数: 4

摘要

使用变压器预训练模型ARBERT, MARBERT对阿拉伯语进行阿拉伯语宣传检测。他们对下游任务“子任务1”进行了微调，对阿拉伯语推文进行多标签分类。提交的模型为MARBERT，获得0.597 micro F1分，排名第五。

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iCompass at WANLP 2022 Shared Task: ARBERT and MARBERT for Multilabel Propaganda Classification of Arabic Tweets

Arabic propaganda detection in Arabic was carried out using transformers pre-trained models ARBERT, MARBERT. They were fine-tuned for the down-stream task in hand ‘subtask 1’, multilabel classification of Arabic tweets. Submitted model was MARBERT the got 0.597 micro F1 score and got the fifth rank.

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Workshop on Arabic Natural Language Processing

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