JINR数字服务命名实体识别方法的实用对比分析

IF 0.4 Q4 PHYSICS, PARTICLES & FIELDS

Physics of Particles and Nuclei Letters Pub Date : 2025-10-03 DOI:10.1134/S1547477125701031

A. Il’ina

{"title":"JINR数字服务命名实体识别方法的实用对比分析","authors":"A. Il’ina","doi":"10.1134/S1547477125701031","DOIUrl":null,"url":null,"abstract":"<p>Efficient extraction of named entities is essential for data analysis, especially given the increasing volume of textual information. This study examines and compares methods for extracting named entities within text-processing algorithm for excursion data, offering statistical insights into events described in natural language texts, which include brief information about the excursion name and its target audience. The practical results highlight the applicability of these methods in supporting and enhancing JINR’s internal services, particularly the JINRex system for excursion planning and management.</p>","PeriodicalId":730,"journal":{"name":"Physics of Particles and Nuclei Letters","volume":"22 5","pages":"1032 - 1035"},"PeriodicalIF":0.4000,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Practical Comparative Analysis of Named Entity Recognition Methods for JINR Digital Services\",\"authors\":\"A. Il’ina\",\"doi\":\"10.1134/S1547477125701031\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Efficient extraction of named entities is essential for data analysis, especially given the increasing volume of textual information. This study examines and compares methods for extracting named entities within text-processing algorithm for excursion data, offering statistical insights into events described in natural language texts, which include brief information about the excursion name and its target audience. The practical results highlight the applicability of these methods in supporting and enhancing JINR’s internal services, particularly the JINRex system for excursion planning and management.</p>\",\"PeriodicalId\":730,\"journal\":{\"name\":\"Physics of Particles and Nuclei Letters\",\"volume\":\"22 5\",\"pages\":\"1032 - 1035\"},\"PeriodicalIF\":0.4000,\"publicationDate\":\"2025-10-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Physics of Particles and Nuclei Letters\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://link.springer.com/article/10.1134/S1547477125701031\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"PHYSICS, PARTICLES & FIELDS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physics of Particles and Nuclei Letters","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1134/S1547477125701031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PHYSICS, PARTICLES & FIELDS","Score":null,"Total":0}

引用次数: 0

摘要

有效地提取命名实体对于数据分析至关重要，特别是在文本信息量不断增加的情况下。本研究考察并比较了在短途旅行数据文本处理算法中提取命名实体的方法，提供了对自然语言文本中描述的事件的统计见解，其中包括短途旅行名称及其目标受众的简要信息。实践结果突出了这些方法在支持和增强JINR内部服务方面的适用性，特别是用于旅行计划和管理的JINRex系统。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Practical Comparative Analysis of Named Entity Recognition Methods for JINR Digital Services

查看原文本刊更多论文

Practical Comparative Analysis of Named Entity Recognition Methods for JINR Digital Services

Efficient extraction of named entities is essential for data analysis, especially given the increasing volume of textual information. This study examines and compares methods for extracting named entities within text-processing algorithm for excursion data, offering statistical insights into events described in natural language texts, which include brief information about the excursion name and its target audience. The practical results highlight the applicability of these methods in supporting and enhancing JINR’s internal services, particularly the JINRex system for excursion planning and management.

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

Physics of Particles and Nuclei Letters PHYSICS, PARTICLES & FIELDS-

CiteScore

0.80

自引率

20.00%

发文量

108

期刊介绍： The journal Physics of Particles and Nuclei Letters, brief name Particles and Nuclei Letters, publishes the articles with results of the original theoretical, experimental, scientific-technical, methodological and applied research. Subject matter of articles covers: theoretical physics, elementary particle physics, relativistic nuclear physics, nuclear physics and related problems in other branches of physics, neutron physics, condensed matter physics, physics and engineering at low temperatures, physics and engineering of accelerators, physical experimental instruments and methods, physical computation experiments, applied research in these branches of physics and radiology, ecology and nuclear medicine.