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- research-articleNovember 2024
Abusive and Hate speech Classification in Arabic Text Using Pre-trained Language Models and Data Augmentation
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Volume 23, Issue 11Article No.: 155, Pages 1–28https://doi.org/10.1145/3679049Hateful content on social media is a worldwide problem that adversely affects not just the targeted individuals but also anyone whose content is accessible. The majority of studies that looked at the automatic identification of inappropriate content ...
- research-articleJanuary 2022
Combining FastText and Glove Word Embedding for Offensive and Hate speech Text Detection
Procedia Computer Science (PROCS), Volume 207, Issue CPages 769–778https://doi.org/10.1016/j.procs.2022.09.132AbstractOver the past decade, increased use of social media has led to an increase in hate content. To address this issue new solutions must be implemented to filter out this kind of inappropriate content. Because manual filtering is difficult, several ...
- ArticleAugust 2005
Table Recognition Evaluation and Combination Methods
ICDAR '05: Proceedings of the Eighth International Conference on Document Analysis and RecognitionPages 1237–1241https://doi.org/10.1109/ICDAR.2005.224In this paper, we propose a new approach of document analysis and recognition (DAR) based on the combination of OCR systems. The proposed approach aims to improve the document recognition by combining the result of several OCR systems according to their ...
