{"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}
引用次数: 0
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.
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