{"title":"面向不稳定沉浸式环境管理任务的低结构信息自动知识提取技术","authors":"A. Musaev, D. A. Grigoriev","doi":"10.36807/1998-9849-2022-63-89-68-77","DOIUrl":null,"url":null,"abstract":"The problem of automatic knowledge extraction from poorly structured text data is considered. The application uses the task of proactive management in unstable immersion environments. A brief overview and critical analysis of the current state of knowledge extraction technologies from text messages are presented. A formalized formulation of the task of extracting knowledge from textual information was carried out. The structures of an automated system for preprocessing text documents and a training data polygon were developed. Options for creating search and statistical technologies for extracting knowledge from text messages are presented.","PeriodicalId":9467,"journal":{"name":"Bulletin of the Saint Petersburg State Institute of Technology (Technical University)","volume":"38 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"TECHNOLOGIES FOR AUTOMATIC KNOWLEDGE EXTRACTION FROM POORLY STRUCTURED INFORMATION FOR MANAGEMENT TASKS IN UNSTABLE IMMERSION ENVIRONMENTS\",\"authors\":\"A. Musaev, D. A. Grigoriev\",\"doi\":\"10.36807/1998-9849-2022-63-89-68-77\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The problem of automatic knowledge extraction from poorly structured text data is considered. The application uses the task of proactive management in unstable immersion environments. A brief overview and critical analysis of the current state of knowledge extraction technologies from text messages are presented. A formalized formulation of the task of extracting knowledge from textual information was carried out. The structures of an automated system for preprocessing text documents and a training data polygon were developed. Options for creating search and statistical technologies for extracting knowledge from text messages are presented.\",\"PeriodicalId\":9467,\"journal\":{\"name\":\"Bulletin of the Saint Petersburg State Institute of Technology (Technical University)\",\"volume\":\"38 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Bulletin of the Saint Petersburg State Institute of Technology (Technical University)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.36807/1998-9849-2022-63-89-68-77\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bulletin of the Saint Petersburg State Institute of Technology (Technical University)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36807/1998-9849-2022-63-89-68-77","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
TECHNOLOGIES FOR AUTOMATIC KNOWLEDGE EXTRACTION FROM POORLY STRUCTURED INFORMATION FOR MANAGEMENT TASKS IN UNSTABLE IMMERSION ENVIRONMENTS
The problem of automatic knowledge extraction from poorly structured text data is considered. The application uses the task of proactive management in unstable immersion environments. A brief overview and critical analysis of the current state of knowledge extraction technologies from text messages are presented. A formalized formulation of the task of extracting knowledge from textual information was carried out. The structures of an automated system for preprocessing text documents and a training data polygon were developed. Options for creating search and statistical technologies for extracting knowledge from text messages are presented.
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