SI2M和AIOX实验室在WANLP 2022共享任务:阿拉伯语的宣传检测，数据增强和名称实体识别方法

Workshop on Arabic Natural Language Processing Pub Date : 1900-01-01 DOI:10.18653/v1/2022.wanlp-1.58

Kamel Gaanoun, Imade Benelallam

{"title":"SI2M和AIOX实验室在WANLP 2022共享任务:阿拉伯语的宣传检测，数据增强和名称实体识别方法","authors":"Kamel Gaanoun, Imade Benelallam","doi":"10.18653/v1/2022.wanlp-1.58","DOIUrl":null,"url":null,"abstract":"This paper presents SI2M & AIOX Labs work among the propaganda detection in Arabic text shared task. The objective of this challenge is to identify the propaganda techniques used in specific propaganda fragments. We use a combination of data augmentation, Name Entity Recognition, rule-based repetition detection, and ARBERT prediction to develop our system. The model we provide scored 0.585 micro F1-Score and ranked 6th out of 12 teams.","PeriodicalId":355149,"journal":{"name":"Workshop on Arabic Natural Language Processing","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"SI2M & AIOX Labs at WANLP 2022 Shared Task: Propaganda Detection in Arabic, A Data Augmentation and Name Entity Recognition Approach\",\"authors\":\"Kamel Gaanoun, Imade Benelallam\",\"doi\":\"10.18653/v1/2022.wanlp-1.58\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents SI2M & AIOX Labs work among the propaganda detection in Arabic text shared task. The objective of this challenge is to identify the propaganda techniques used in specific propaganda fragments. We use a combination of data augmentation, Name Entity Recognition, rule-based repetition detection, and ARBERT prediction to develop our system. The model we provide scored 0.585 micro F1-Score and ranked 6th out of 12 teams.\",\"PeriodicalId\":355149,\"journal\":{\"name\":\"Workshop on Arabic Natural Language Processing\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Workshop on Arabic Natural Language Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18653/v1/2022.wanlp-1.58\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Workshop on Arabic Natural Language Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18653/v1/2022.wanlp-1.58","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

本文介绍了SI2M和AIOX实验室在阿拉伯语文本共享中的宣传检测工作。这项挑战的目的是确定在具体宣传片段中使用的宣传技术。我们结合了数据增强、名称实体识别、基于规则的重复检测和ARBERT预测来开发我们的系统。我们提供的模型得分为0.585 micro F1-Score，在12支队伍中排名第6。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

SI2M & AIOX Labs at WANLP 2022 Shared Task: Propaganda Detection in Arabic, A Data Augmentation and Name Entity Recognition Approach

This paper presents SI2M & AIOX Labs work among the propaganda detection in Arabic text shared task. The objective of this challenge is to identify the propaganda techniques used in specific propaganda fragments. We use a combination of data augmentation, Name Entity Recognition, rule-based repetition detection, and ARBERT prediction to develop our system. The model we provide scored 0.585 micro F1-Score and ranked 6th out of 12 teams.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Workshop on Arabic Natural Language Processing

自引率

0.00%

发文量