Missing Procedural Texts Repairing Based on Process Model and Activity Description Templates

文献类型： 外文期刊

第一作者： Zeng, Qingtian

作者： Zeng, Qingtian;Tang, Xiaojie;Ni, Weijian;Duan, Hua;Li, Chao;Xie, Nengfu

作者机构：

关键词： Procedural text; business process model; information extraction; alignments; missing text repair

期刊名称：IEEE ACCESS （ 影响因子：3.367； 五年影响因子：3.671 ）

ISSN： 2169-3536

年卷期： 2020 年 8 卷

页码：

收录情况： SCI

摘要： 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.

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