Secondly finetuned a RoBERTa Model for sentiment analysis on MOOCs. Next, trained the proposed model by applying Adversarial attacks approach to gain domain specific knowledge and test the model to find the sentiment of the learners. Finally, we compared the performance of the proposed model with...
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sent_xlm_roberta_base_finetuned_igbois aIgbo RoBERTamodel obtained by fine-tuningxlm-roberta-basemodel on Igbo language texts. It providesbetter performancethan the XLM-RoBERTa on named entity recognition datasets. Specifically, this model is anxlm-roberta-basemodel that was fine-tuned on theIgbo...
sent_xlm_roberta_base_finetuned_wolofis aWolof RoBERTamodel obtained by fine-tuningxlm-roberta-basemodel on Wolof language texts. It providesbetter performancethan the XLM-RoBERTa on named entity recognition datasets. Specifically, this model is anxlm-roberta-basemodel that was fine-tuned on theWo...
Copy & Edit426 more_vert Copied from private notebook (+2,-2) historyVersion 1 of 1chevron_right Runtime play_arrow 33m 7s · TPU v3-8 (Deprecated) Input COMPETITIONS Jigsaw Multilingual Toxic Comment Classification DATASETS jigsaw-mlm-finetuned-xlm-r-large ...
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