تقدم هذه الورقة النظام لمهمة Semeval 2021 8 (MEADEVAL).تعد MEADEVAL مهمة استخراج رواية وتصنيف واستخراج العلاقات التي تركز على إيجاد كميات وسمات هذه الكميات ومعلومات إضافية، بما في ذلك الكيانات المقاسة ذات الصلة والخصائص وسياقات القياس.يتألف نظامنا المقدم، الذي وضع الخامس (رتبة الفريق) على المتصدرين، من Scibert مع [CLS] رمزية تكريم وطبقة CRF على القمة.لقد وضعنا أيضا أولا في الكمية (مرتبطة) والوحدة الفرعية، ثانية في القياس، والمعدل وتأهيل المهام الفرعية، والثالث في التركيب الفرعي المؤهل.
This paper presents the system for SemEval 2021 Task 8 (MeasEval). MeasEval is a novel span extraction, classification, and relation extraction task focused on finding quantities, attributes of these quantities, and additional information, including the related measured entities, properties, and measurement contexts. Our submitted system, which placed fifth (team rank) on the leaderboard, consisted of SciBERT with [CLS] token embedding and CRF layer on top. We were also placed first in Quantity (tied) and Unit subtasks, second in MeasuredEntity, Modifier and Qualifies subtasks, and third in Qualifier subtask.
References used
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