应急处置过程多语言描述文本自动生成

Guiyuan Yuan, Q. Zeng, H. Duan, Wenyan Guo, Weijian Ni, N. Xie
{"title":"应急处置过程多语言描述文本自动生成","authors":"Guiyuan Yuan, Q. Zeng, H. Duan, Wenyan Guo, Weijian Ni, N. Xie","doi":"10.1109/IICSPI.2018.8690442","DOIUrl":null,"url":null,"abstract":"In order to help emergency disposal participants understand the process model, a multi-language description text generation method is proposed. The linguistic information of model elements is extracted and translated first. Then, RPST algorithm is used to generate the process structure tree of process model. Next, multi-language sentence templates are generated based on the information of process structure type, the number of branches and the execution conditions, then the annotated process structure tree is built. Finally, multi-language description text is generated from the annotated process structure tree. Experiment demonstrates that our approach is available and the generated text is readable.","PeriodicalId":6673,"journal":{"name":"2018 IEEE International Conference of Safety Produce Informatization (IICSPI)","volume":"128 1","pages":"31-35"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Multi-language Description Text Automatic Generation of Emergency Disposal Process\",\"authors\":\"Guiyuan Yuan, Q. Zeng, H. Duan, Wenyan Guo, Weijian Ni, N. Xie\",\"doi\":\"10.1109/IICSPI.2018.8690442\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to help emergency disposal participants understand the process model, a multi-language description text generation method is proposed. The linguistic information of model elements is extracted and translated first. Then, RPST algorithm is used to generate the process structure tree of process model. Next, multi-language sentence templates are generated based on the information of process structure type, the number of branches and the execution conditions, then the annotated process structure tree is built. Finally, multi-language description text is generated from the annotated process structure tree. Experiment demonstrates that our approach is available and the generated text is readable.\",\"PeriodicalId\":6673,\"journal\":{\"name\":\"2018 IEEE International Conference of Safety Produce Informatization (IICSPI)\",\"volume\":\"128 1\",\"pages\":\"31-35\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE International Conference of Safety Produce Informatization (IICSPI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IICSPI.2018.8690442\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference of Safety Produce Informatization (IICSPI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IICSPI.2018.8690442","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

为了帮助应急处置参与者理解过程模型,提出了一种多语言描述文本生成方法。首先提取模型元素的语言信息并进行翻译。然后,利用RPST算法生成过程模型的过程结构树。然后,根据流程结构类型、分支数量和执行条件等信息生成多语言句子模板,构建带标注的流程结构树。最后,从带注释的流程结构树生成多语言描述文本。实验表明,我们的方法是可行的,生成的文本是可读的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-language Description Text Automatic Generation of Emergency Disposal Process
In order to help emergency disposal participants understand the process model, a multi-language description text generation method is proposed. The linguistic information of model elements is extracted and translated first. Then, RPST algorithm is used to generate the process structure tree of process model. Next, multi-language sentence templates are generated based on the information of process structure type, the number of branches and the execution conditions, then the annotated process structure tree is built. Finally, multi-language description text is generated from the annotated process structure tree. Experiment demonstrates that our approach is available and the generated text is readable.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信