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Register a new userCONNER: A Cascade Count and Measurement Extraction Tool for Scientific Discourse
Conner: أداة استخراج Cascade وقياس القياس للخطاب العلمي
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تقدم هذه الورقة مساهمتنا الفائزة في مهمة Semeval 2021 8: MeasessVal.الغرض من هذه المهمة هو تحديد العدد والقياسات من الخطاب العلمي السريري، بما في ذلك الكميات والكيانات والخصائص والوحدات والوحدات والمعدلات وعلاقاتهم المتبادلة.يمكن أن تهدف هذه المهمة إلى مشكلة استخراج كيان مشترك وعلاقة.وفقا لذلك، نقترح Conner، أداة استخراج العد والقياس التي يمكن أن تحدد الكيانات والعلاقات المقابلة في نموذج خط أنابيب من خطوتين.نحن نقدم وصفا مفصلا للنموذج المقترح فيما يلي.علاوة على ذلك، يتم التحقيق في تأثير الوحدات الأساسية والمخططات الفنية المعنية لدينا أيضا.
This paper presents our wining contribution to SemEval 2021 Task 8: MeasEval. The purpose of this task is identifying the counts and measurements from clinical scientific discourse, including quantities, entities, properties, qualifiers, units, modifiers, and their mutual relations. This task can be induced to a joint entity and relation extraction problem. Accordingly, we propose CONNER, a cascade count and measurement extraction tool that can identify entities and the corresponding relations in a two-step pipeline model. We provide a detailed description of the proposed model hereinafter. Furthermore, the impact of the essential modules and our in-process technical schemes are also investigated.
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