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Register a new userNCU-NLP at ROCLING-2021 Shared Task: Using MacBERT Transformers for Dimensional Sentiment Analysis
NCU-NLP في المهمة المشتركة Rocling-2021: باستخدام محولات Macbert لتحليل المعنويات الأبعاد
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نحن نستخدم محولات Macbert وضبطها بشكل جيد على المهام المشتركة Rocling-2021 باستخدام بيانات CVAT و CVAS.قارنا أداء ماكبيرت مع اثنين من المحولاتين الآخرين وروبرتا في الأبعاد الإثارة، على التوالي.تم استخدام معامل ماي والارتباط (ص) كمقاييس التقييم.على مجموعة اختبار Rocling-2021، يحقق نموذج Macbert المستخدم الخاص بنا 0.611 من MAE و 0.904 من R في أبعاد التكافؤ؛و 0.938 من ماي و 0.549 من ص في البعد الإثرا.
We use the MacBERT transformers and fine-tune them to ROCLING-2021 shared tasks using the CVAT and CVAS data. We compare the performance of MacBERT with the other two transformers BERT and RoBERTa in the valence and arousal dimensions, respectively. MAE and correlation coefficient (r) were used as evaluation metrics. On ROCLING-2021 test set, our used MacBERT model achieves 0.611 of MAE and 0.904 of r in the valence dimensions; and 0.938 of MAE and 0.549 of r in the arousal dimension.
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