关键词: 案例, 信息抽取, 过程文本, 半监督学习

Abstract: Aiming at the natural text for describing specific process case,a new approach to automatically extracting case information was introduced,which realized the transformation from unstructured procedure text to structured event logs,and provided valuable data resource in downstream process mining tasks.Based on a formal definition of key concepts in procedure text,case information extraction was divided into three subtasks:activity/property entity recognition,activity/property relation recognition and activity sequence recognition,each of which was approached in a semi-supervised way.Experiments with Chinese recipe documents demonstrated that the proposed approach was capable of constructing case information extraction model by using a small amount of labeled text,with the help of the huge number of unlabeled text in the same domain.Furthermore,the proposed approach could be easily adapted to real-world domains as it was independent on complicated manually-designed rules.

Key words: case, information extraction, procedure text, semi-supervised learning