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}
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.