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Register a new userRecognizing and Splitting Conditional Sentences for Automation of Business Processes Management
الاعتراف والتقسيم الجمل الشرطية لأتمتة إدارة عمليات الأعمال
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إدارة العمليات التجارية (BPM) هي الانضباط المسؤولة عن إدارة اكتشاف وتحليل وإعادة تصميمها والرصد والتحكم في عمليات العمل.تتمثل إحدى المهام الأكثر أهمية في BPM في اكتشاف وتنمذ العمليات التجارية من وثائق النص.في هذه الورقة، نقدم نظامنا الذي يحدد مشكلة نهاية إلى نهاية تتكون من 1) الاعتراف بالجمل المشروطة من الوثائق الفنية، 2) العثور على حدود لاستخراج البنود الشرطية والناتجة من كل جملة مشروطة، و 3) تصنيف البند الناتجالإجراء أو النتيجة التي تساعد لاحقا على توليد خطوات جديدة في نموذج عملية عملنا تلقائيا.أنشأنا مجموعة بيانات جديدة وثلاثة نماذج لحل هذه المشكلة.حقق أفضل نموذج لدينا نتائج واعدة للغاية من 83.82 و 87.84 و 85.75 للحصول على الدقة والتذكر و F1 على التوالي، لاستخراج شرط العمل والعمل والنتيجة باستخدام مقياس التطابق الدقيق.
Business Process Management (BPM) is the discipline which is responsible for management of discovering, analyzing, redesigning, monitoring, and controlling business processes. One of the most crucial tasks of BPM is discovering and modelling business processes from text documents. In this paper, we present our system that resolves an end-to-end problem consisting of 1) recognizing conditional sentences from technical documents, 2) finding boundaries to extract conditional and resultant clauses from each conditional sentence, and 3) categorizing resultant clause as Action or Consequence which later helps to generate new steps in our business process model automatically. We created a new dataset and three models to solve this problem. Our best model achieved very promising results of 83.82, 87.84, and 85.75 for Precision, Recall, and F1, respectively, for extracting Condition, Action, and Consequence clauses using Exact Match metric.
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