发布求助
文献互助 智能选刊 最新文献

AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS最新文献

筛选
英文 中文
Cross-Lingual Transfer for Russian Speech Emotion Automatic Recognition: Data and Trends 俄语语音情感自动识别的跨语言迁移：数据与趋势
IF 0.5
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2025-08-26 DOI: 10.3103/S000510552570058X
V. I. Lemaev, N. V. Lukashevich
{"title":"Cross-Lingual Transfer for Russian Speech Emotion Automatic Recognition: Data and Trends","authors":"V. I. Lemaev,&nbsp;N. V. Lukashevich","doi":"10.3103/S000510552570058X","DOIUrl":"10.3103/S000510552570058X","url":null,"abstract":"<p>A study of the influence of differences in languages and training data on the quality of cross-lingual transfer of a trained speech model to Russian in the task of automatic recognition of emotions in speech is described. At the training stage, English, Polish, Chinese, and Japanese served as source languages, for which the IEMOCAP, nEMO, ESD, and JVNV emotional speech datasets were used, respectively, and the model itself was the HuBERT speech model on the transformer architecture. All models trained on the corresponding dataset were tested on a shortened sample from the Dusha Russian emotional speech dataset. Based on the data obtained, the main trends in choosing different languages for training the speech model and its subsequent transfer to Russian are considered, and differences in datasets are analyzed, which indicate the need for further work on collecting and labeling quality emotional speech data.</p>","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":"59 3","pages":"166 - 176"},"PeriodicalIF":0.5,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144905134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
On the Methodology of Automated Processing of Expert Opinions in the Projects and Scientific Research Works Assessment 项目与科研工作评审中专家意见自动化处理方法研究
IF 0.5
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2025-08-26 DOI: 10.3103/S0005105525700608
A. V. Vishnekov, E. M. Ivanova
{"title":"On the Methodology of Automated Processing of Expert Opinions in the Projects and Scientific Research Works Assessment","authors":"A. V. Vishnekov,&nbsp;E. M. Ivanova","doi":"10.3103/S0005105525700608","DOIUrl":"10.3103/S0005105525700608","url":null,"abstract":"<p>The paper proposes a new approach to automate processing of expert opinions in the information system in support of the competition of research works and projects based on the methods of decision theory using numerical and linguistic criteria. The methodology based on the integration of methods for assessing and comparing multicriteria alternatives and group methods of decision making includes the automation of the stages of experts assessing works and identifying the awardees and winners of the competition, taking into account the opinions of all experts. A specific example of the application of the developed methodology in practice is considered.</p>","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":"59 3","pages":"177 - 184"},"PeriodicalIF":0.5,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144905168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Prospects for Big Text Data Application in Technology Maturity Assessment (Publications Review) 大文本数据在技术成熟度评估中的应用展望（出版物评论）
IF 0.5
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2025-08-26 DOI: 10.3103/S0005105525700505
I. V. Loginova, F. M. Grozovskiy, A. S. Piekalnits
{"title":"Prospects for Big Text Data Application in Technology Maturity Assessment (Publications Review)","authors":"I. V. Loginova,&nbsp;F. M. Grozovskiy,&nbsp;A. S. Piekalnits","doi":"10.3103/S0005105525700505","DOIUrl":"10.3103/S0005105525700505","url":null,"abstract":"<p>The paper analyzes the limitations of conventional methods for assessing the maturity of technology, such as the <i>S</i>-curve, technology readiness level (TRL), Gartner’s hype cycle and their dependence on experts’ opinions. Current approaches to this task based on big text data analysis and machine learning algorithms are reviewed, and their advantages are demonstrated. As a result of existing research systematization, the prospects of transition to automated technology maturity assessment using machine learning methods are revealed.</p>","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":"59 3","pages":"145 - 153"},"PeriodicalIF":0.5,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144905169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Analysis of Interrelations of Scientific Subject Areas Based on the Method of Graphosemantic Modeling 基于图语义建模方法的科学学科领域相互关系分析
IF 0.5
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2025-08-26 DOI: 10.3103/S0005105525700621
A. D. Egorova, O. Yu. Amurskaya
{"title":"Analysis of Interrelations of Scientific Subject Areas Based on the Method of Graphosemantic Modeling","authors":"A. D. Egorova,&nbsp;O. Yu. Amurskaya","doi":"10.3103/S0005105525700621","DOIUrl":"10.3103/S0005105525700621","url":null,"abstract":"<p>This article explores the unification of two relevant areas that are rarely studied together: the computational linguistics field of sentiment analysis and the physico-mathematical field of entropy-complexity. Based on keywords from articles on both topics, links are established that form a single semantic space at the junction of these subject areas. The information system of the data visualization tool Semograph was used to visualize the data and identify semantic links between semantic components and between sentiment analysis and entropy complexity.</p>","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":"59 3","pages":"185 - 193"},"PeriodicalIF":0.5,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144905183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Intelligent System for Detecting Environmental Problems Based on Multispectral Satellite Images 基于多光谱卫星图像的环境问题智能检测系统
IF 0.5
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2025-08-26 DOI: 10.3103/S0005105525700566
E. P. Zharikova, Y. U. Grigoryev, I. N. Alkhimenko, A. L. Grigoryeva
{"title":"Intelligent System for Detecting Environmental Problems Based on Multispectral Satellite Images","authors":"E. P. Zharikova,&nbsp;Y. U. Grigoryev,&nbsp;I. N. Alkhimenko,&nbsp;A. L. Grigoryeva","doi":"10.3103/S0005105525700566","DOIUrl":"10.3103/S0005105525700566","url":null,"abstract":"<p>This paper describes the development of an intelligent system for detecting environmental problems based on multispectral satellite images. The functionality of the system is based on machine learning algorithms and provides the ability to highlight areas of environmental problems based on the analysis of each individual pixel of the image. The article describes the system architecture, data collection and preprocessing process, model development and training. The evaluation of the results of the system is based on real data. The effectiveness of application of the developments obtained as a result of the study for the tasks of monitoring the environmental state of the Earth’s surface for large territories is confirmed. The use of software modules provides the ability to respond quickly to emerging environmental abnormal situations.</p>","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":"59 3","pages":"154 - 159"},"PeriodicalIF":0.5,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144905185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Conceptual Model of Neural Network Algorithmization of Semantic Processing of Scientific and Technical Information 科技信息语义处理的神经网络算法概念模型
IF 0.5
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2025-06-16 DOI: 10.3103/S0005105525700529
S. M. Pistsov, V. A. Trusov
{"title":"Conceptual Model of Neural Network Algorithmization of Semantic Processing of Scientific and Technical Information","authors":"S. M. Pistsov,&nbsp;V. A. Trusov","doi":"10.3103/S0005105525700529","DOIUrl":"10.3103/S0005105525700529","url":null,"abstract":"<p>The use of neural network language models to increase the efficiency of processing scientific and technical information (STI) on the Internet from the point of view of cognitive information retrieval is considered. A conceptual model is proposed to identify subject areas that corresponding to the object of information need based on existing STI classification systems. The model is based on the principles of coordinate indexing incorporating methods of detecting and tracking topics and the use of large language models to analyze the information space of the user’s information needs, metasearch of Internet resources, automatic abstracting and ranking of relevant documents.</p>","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":"59 2","pages":"78 - 85"},"PeriodicalIF":0.5,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145166259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Some Methods for Finding a Solution in Partially Defined Functional Neural Networks Given by Declarations 由声明给出的部分定义泛函神经网络解的若干方法
IF 0.5
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2025-06-16 DOI: 10.3103/S0005105525700542
V. N. Betin, V. A. Ivashchenko, A. P. Suprun
{"title":"Some Methods for Finding a Solution in Partially Defined Functional Neural Networks Given by Declarations","authors":"V. N. Betin,&nbsp;V. A. Ivashchenko,&nbsp;A. P. Suprun","doi":"10.3103/S0005105525700542","DOIUrl":"10.3103/S0005105525700542","url":null,"abstract":"<p>The paper considers the features of an algorithm for finding a solution in the formalism of functional neural networks (FN-networks), where the knowledge base and description of the initial problem contain concepts that are defined by partially defined FN-networks with a regular structure, in the form of enumerations of sets of the same type of objects and fragments of the same structure, when their number is unknown and possibly infinite.</p>","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":"59 2","pages":"98 - 108"},"PeriodicalIF":0.5,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145166260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Structural-Functional Models for Effective Topologies Search 有效拓扑搜索的结构-功能模型
IF 0.5
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2025-06-16 DOI: 10.3103/S0005105525700517
L. A. Mylnikov, S. L. Mylnikova, Z. Zh. Avramovic
{"title":"Structural-Functional Models for Effective Topologies Search","authors":"L. A. Mylnikov,&nbsp;S. L. Mylnikova,&nbsp;Z. Zh. Avramovic","doi":"10.3103/S0005105525700517","DOIUrl":"10.3103/S0005105525700517","url":null,"abstract":"<p>The problem of generating effective configurations of structural-functional models of process activity using event-driven process methodology notation is discussed. A symbolic encoding system for topologies and a random search method, which allows generating many solutions based on previous options, are proposed. The presented experiments show that the proposed method helps to find effective configurations of the organization of processes that take into account the delimitations; if these delimitations cannot be implemented, then they suggest options in breach of them and introduce new options not previously proposed by experts, `comparing them according to performance evaluation data.</p>","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":"59 2","pages":"71 - 77"},"PeriodicalIF":0.5,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145166258","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Algorithms for Identifying and Resolving Conflict Situations in Management of Organizational Systems 识别和解决组织系统管理中冲突情况的算法
IF 0.5
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2025-06-16 DOI: 10.3103/S0005105525700530
L. V. Rossikhina, D. E. Orlova, V. A. Chertov
{"title":"Algorithms for Identifying and Resolving Conflict Situations in Management of Organizational Systems","authors":"L. V. Rossikhina,&nbsp;D. E. Orlova,&nbsp;V. A. Chertov","doi":"10.3103/S0005105525700530","DOIUrl":"10.3103/S0005105525700530","url":null,"abstract":"<p>Structural, target, and resource conflict situations arising in management of organizational systems and algorithms that help to identify and resolve these situations are considered. This study is carried out in the interest of creating computer technologies for the intellectual support of decision-making in management in organizational systems on the basis of the provisions of system analysis, the theory of management and decision-making, and the theory of active systems and the concept of artificial intelligence.</p>","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":"59 2","pages":"86 - 97"},"PeriodicalIF":0.5,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145166252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Ontology of Engineering and Computational Architecture of Multimodal Transport and Logistics Center 多式联运物流中心工程本体与计算体系结构
IF 0.5
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2025-06-16 DOI: 10.3103/S0005105525700554
N. A. Mamedova, M. A. Afanasev, Yu. V. Nefedov, A. I. Urintsov
{"title":"Ontology of Engineering and Computational Architecture of Multimodal Transport and Logistics Center","authors":"N. A. Mamedova,&nbsp;M. A. Afanasev,&nbsp;Yu. V. Nefedov,&nbsp;A. I. Urintsov","doi":"10.3103/S0005105525700554","DOIUrl":"10.3103/S0005105525700554","url":null,"abstract":"<p>The conceptual framework and building of the ontology of a selected subject area is considered. The subject area is the development of engineering and computational architectures for the specific object of warehousing logistics. The research methodology is presented iteratively and includes a definition of the ontology structure and its requirements, a specification of terms, and a class hierarchy. The conceptual representation framework takes into account the distinction among objects of links identified from the data concerning the generative operation of a multimodal transport and logistics center. The chosen approach to ontology development allows the formulation of rules and operations for transforming the class hierarchy. This approach involves creating a hierarchy, where each concept can inherit attributes and relationships from a parent class, which simplifies data management within the subject area. The ontology is developed in the Protégé editor, the links expressing object relationships are defined, and a basis is created for searching axioms of dependencies among component objects of the IT architecture of the multimodal transport and logistics center. The ontology is intended to provide methodological support for decisions concerning configuring and parameterizing software and network components of the engineering and computing architectures of the multimodal transport and logistics center.</p>","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":"59 2","pages":"109 - 123"},"PeriodicalIF":0.5,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145166261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
首页 上一页 下一页 尾页
0
×
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
请完成安全验证×
相关产品
×
本文献相关产品
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信