自然语言语义分析的对象-属性方法

IF 1 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS IT-Information Technology Pub Date : 2021-05-18 DOI:10.17587/IT.27.267-274
S. Salibekyan
{"title":"自然语言语义分析的对象-属性方法","authors":"S. Salibekyan","doi":"10.17587/IT.27.267-274","DOIUrl":null,"url":null,"abstract":"he article describes the methodology of semantic analysis of natural language (NL) and semantic search in it, which includes: the general stages of analysis of NL, the format of the semantic network for presenting the meaning of the text, words polysemy analysis, semantic and syntactic agreement of words, etc. The method is based on the object-attribute principle of organization of calculations and data structures, belonging to the dataflow class.","PeriodicalId":43953,"journal":{"name":"IT-Information Technology","volume":null,"pages":null},"PeriodicalIF":1.0000,"publicationDate":"2021-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Object-Attribute Approach for Semantic Analysis of Natural Language\",\"authors\":\"S. Salibekyan\",\"doi\":\"10.17587/IT.27.267-274\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"he article describes the methodology of semantic analysis of natural language (NL) and semantic search in it, which includes: the general stages of analysis of NL, the format of the semantic network for presenting the meaning of the text, words polysemy analysis, semantic and syntactic agreement of words, etc. The method is based on the object-attribute principle of organization of calculations and data structures, belonging to the dataflow class.\",\"PeriodicalId\":43953,\"journal\":{\"name\":\"IT-Information Technology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2021-05-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IT-Information Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17587/IT.27.267-274\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IT-Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17587/IT.27.267-274","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

摘要

本文阐述了自然语言的语义分析和语义搜索的方法,包括:自然语言分析的一般阶段、表达文本意义的语义网络的格式、词的多义分析、词的语义和句法一致性等。该方法基于对象-属性原则组织计算和数据结构,属于数据流类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Object-Attribute Approach for Semantic Analysis of Natural Language
he article describes the methodology of semantic analysis of natural language (NL) and semantic search in it, which includes: the general stages of analysis of NL, the format of the semantic network for presenting the meaning of the text, words polysemy analysis, semantic and syntactic agreement of words, etc. The method is based on the object-attribute principle of organization of calculations and data structures, belonging to the dataflow class.
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
IT-Information Technology
IT-Information Technology COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
3.80
自引率
0.00%
发文量
29
期刊最新文献
Wildfire prediction for California using and comparing Spatio-Temporal Knowledge Graphs Machine learning in AI Factories – five theses for developing, managing and maintaining data-driven artificial intelligence at large scale Machine learning applications Machine learning in sensor identification for industrial systems Machine learning and cyber security
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1