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Register a new userPrecog-LTRC-IIITH at GermEval 2021: Ensembling Pre-Trained Language Models with Feature Engineering
Precog-LTRC-IITH في Germeval 2021: نماذج اللغة المدربة مسبقا مسبقا مع هندسة ميزة
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نحن نصف مشاركتنا في جميع المهام المشتركة بين Germeval 2021 بشأن تحديد تعليقات سمية ومشاركة وتحقيق الحقائق.نظامنا هو مجموعة من النماذج المدربة مسبقا من أحدث المعلومات المصنوعة من الميزات المصنعة بعناية.نظهر أن ميزة الهندسة وتكبير البيانات يمكن أن تكون مفيدة عندما تكون البيانات التدريبية متناثرة.نحن نحقق درجة F1 من 66.87 و 68.93 و 73.91 في التعليق السام والمشاركة في التعليق في التعليق التعليق.
We describe our participation in all the subtasks of the Germeval 2021 shared task on the identification of Toxic, Engaging, and Fact-Claiming Comments. Our system is an ensemble of state-of-the-art pre-trained models finetuned with carefully engineered features. We show that feature engineering and data augmentation can be helpful when the training data is sparse. We achieve an F1 score of 66.87, 68.93, and 73.91 in Toxic, Engaging, and Fact-Claiming comment identification subtasks.
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