Abstract
Textual descriptions of business process models are used as guidance for business executives. While it makes process models much easier to understand, missing procedural text is an important practical problem. In this paper, we propose a method of repairing missing procedural text based on business process model and text alignment. The proposed method realizes the process of repairing unstructured procedural texts based on structured models. Firstly, the key concepts of alignment and repair are formally defined. Then, text repair is divided into three subtasks: alignment creation, selecting the template for activities and procedural text repairing. Each subtasks are solved in a detailed way. Experiments with Chinese recipe documents demonstrate that the proposed method is capable of repairing the missing activities of procedural text. Furthermore, the proposed method could be easily adapted to other real-world domains as it is independent on complicated manually-designed rules.
Highlights
Our life is inseparable from information, which can be expressed in a variety of ways, such as graph, table, text, etc
We repair a given piece of the procedural texts describing this model based on Business Process Modeling Notation (BPMN) model and activity description file
The reason that affects the accuracy of alignment is the threshold of alignment
Summary
Our life is inseparable from information, which can be expressed in a variety of ways, such as graph, table, text, etc. Q. Zeng et al.: Missing Procedural Texts Repairing Based on Process Model and Activity Description Templates such as missing steps in process model. The experimental results show that this method can diagnose the missing activities of procedural texts and achieve the goal of repairing. Following [26], [27] proposed a more comprehensive alignment method, including process model activities, events and gateways. To improve the understandability of this framework, we first formalize some basic concepts involved in the work of repairing missing procedural text, and provide a general framework. Dm => valuem},where di => valuei represents the sentence di in the text, and the activities set valuei in the process model corresponding to this sentence, and valuei ⊆ A. N) represents the activity activityi in the process model and the corresponding natural language description descriptioni
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