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Упит dcterms_subject_txt:text processing

333 items

  • Investigation of nanostructured Ca0.9Er0.1MnO3 obtained by sucrose nitrate procedure

    Tijana B. Vlašković, Bojana Laban, Maja Milošević, Maria Čebela, Vladimir Dodevski, Milena Rosić (2023)
    ... Frontiers in Multifunctional Material Science and Processing (11 ; 2023 ; Beograd) Program ; and the Book of abstracts / Serbian Ceramic Society Conference Advanced Ceramics and Application XI New Frontiers in Multifunctional Material Science and Processing, Serbian Academy of Sciences and Art Serbia ...
    ... rgf.bg.ac.rs Serbian Ceramic Society Conference ADVANCED CERAMICS AND APPLICATION XI New Frontiers in Multifunctional Material Science and Processing Serbian Ceramic Society Institute of Technical Sciences of SASA Institute for Testing of Materials Institute of Chemistry Technology and ...
    ... September 2023. Serbian Ceramic Society Conference ADVANCED CERAMICS AND APPLICATION XI New Frontiers in Multifunctional Material Science and Processing Serbian Ceramic Society Institute of Technical Sciences of SASA Institute for Testing of Materials Institute of Chemistry Technology and ...

  • An Approach to Management Decision Support: The Coal Mine Pljevlja Management Information System

    Božo Kolonja, Ranka Stanković, Filip Vuković, Ivan Obradović (2006)
    In this paper we describe the approach that has been used in the development of the Management Information System (MIS) in the Coal Mine Pljevlja in Montenegro. The methodology of this approach was based on new information technologies and management techniques which have already been successfully applied in other related fields. Its main goal was to introduce modern management techniques to mining, adapted to specific features of the mining industry, its operations and environment, thus enabling the tactical management ...
    ... generated report 3.2 Online Analytical Processing MIS, as an intelligent system for support of decision making in the mine uses the combination of various IT technologies, such as OLTP (On Line Transactional Processing), OLAP (On Line Analytical Processing), WEB, SQL Server Reporting Services, etc ...
    ... different IT technologies such as .NET, OLTP, OLAP, WEB, SQL Server Reporting Services and others. It is a system for direct analytical data processing implemented through Microsoft® SQL Server™ 2000 Analysis Services which supports multidimensional views of business data. The methodology has ...
    ... etc. Hence, it is a system for direct analytical data processing implemented through Microsoft® SQL Server™ 2000 Analysis Services, which supports multidimensional views on business data, using the technology of multidimensional or relational databases. Managers and analysts who often require higher ...

  • Part of Speech Tagging for Serbian language using Natural Language Toolkit

    Ranka Stanković, Boro Milovanović (2020)
    Dok se razvijaju složeni algoritmi za NLP (obrada prirodnog jezika), osnovni zadaci kao što je označavanje ostaju veoma važni i još uvek izazovni. NLTK (Natural Language Toolkit) je moćna Python biblioteka za razvoj programa zasnovanih na NLP-u. Pokušavamo da iskoristimo ovu biblioteku za kreiranje PoS (vrsta reči) oznake za savremeni srpski jezik. Jedanaest različitih modela je kreirano korišćenjem NLTK API-ja za označavanje. Najbolji modeli se transformišu sa Brill tagerom da bi se poboljšala tačnost. Obučili smo modele na označenom ...
    obrada prirodnog jezika, mašinsko učenje, neuronske mreže
    ... of tagger models packaged in NLTK that can be trained. Every tagger has an evaluation procedure that strips down the tags from the given text, tags the text with the newly created tagger and reports the accuracy on all tokens. This measure will be used for comparing different taggers. The simplest ...
    ... 83 90.51 86.95 Training Time 1143s 1343s 3074s Useful tagger model is one which generalizes well to the text from the other domains. That’s why we tested our best taggers on the text that stayed out of the training and validation phases. Results can be seen in Figure 3. Fig. 3. Accuracy ...
    ... accuracy for the different tagsets. Index Terms—Natural Language Processing; Machine Learning; Neural Network. I. INTRODUCTION In the last couple of years, a big advancement in the field of Natural Language Processing has occurred. There are state-of- the-art language models that perform ...

  • Terminology Acquisition and Description Using Lexical Resources and Local Grammars

    Cvetana Krstev, Ranka Stanković, Ivan Obradović, Biljana Lazić (2015)
    Acquisition of new terminology from specific domains and its adequate description within terminological dictionaries is a complex task, especially for languages that are morphologically complex such as Serbian. In this paper we present an approach to solving this task semi-automatically on basis of lexical resources and local grammars developed for Serbian. Special attention is given to automatic inflectional class prediction for simple adjectives and nouns and the use of syntactic graphs for extraction of Multi-Word Unit (MWU) candidates for ...
    ... 2. Compiling the dictionaries of newly ac- quired multi-word terms and integrating them with other resources for linguistic text processing; 5.3. Linguistic pre-processing with expanded dictionaries for verification of recognition of new MWU lemmas. Figure 1: Diagram of terminology acquisition ...
    ... 2002). 2 Process description The processing steps (Fig.1) of integrating new terms from specific domains in terminological dictionaries using lexical resources and local grammars in our approach are: 1. Linguistic preprocessing of the input plain text file from the chosen domain using Unitex ...
    ... Preece & H. Li (Eds.), Natural Language Processing and Information Systems (Vol. 6177, pp. 248-255): Springer Berlin Heidelberg. Justeson, J. S., & Katz, S. M. (1995). Technical ter- minology: some linguistic properties and an algo- rithm for identification in text. Natural Language Engineering, 1 (01): ...

  • Towards Automatic Definition Extraction for Serbian

    Ranka Stanković, Cvetana Krstev, Rada Stijović, Mirjana Gočanin, Mihailo Škorić (2021)
    U radu su prikazani preliminarni rezultati automatske ekstrakcije kandidata za definicije rečnika iz nestrukturiranih tekstova na srpskom jeziku u cilju ubrzanja razvoja rečnika. Definicije u rečniku Srpske akademije nauka i umetnosti (SANU) korišćene su za modelovanje različitih tipova definicija (opisnih, gramatičkih, referentnih i sinonimskih) koje imaju različite sintaksičke i leksičke karakteristike. Korpus istraživanja sastoji se od 61.213 definicija imenica, koje su analizirane korišćenjem morfoloških e-rečnika i lokalnih gramatika implementiranih kao pretvarači konačnih stanja u paketu za obradu korpusa otvorenog ...
    ... A finite state transducer “passes” through the text it analyses to compare a text chunk with the model it represents. In the case of successful recognition, a final state transducer produces some result, which can be a modification of the source text by adding tags for types of recognized 1 Un ...
    ... result of OCR errors that remained in the text, but we are working on correcting them.3 4.2 Recognition of Candidates in the Textbook Corpus To determine whether it is possible to recognize definitions of domain-specific terms in the domain corpus text, a subset of local grammars presented in Section ...
    ... definition extraction in free-and semi-structured text. In Proceedings of the 13th Linguistic Annotation Workshop, 2019, pp. 124–131. Stanković, R., Stijović, R., Vitas, D., Krstev, C. & Sabo O. (2018). The Dictionary of the Serbian Academy: from the Text to the Lexical Database. In: Proceedings of the ...

  • Bilingual lexical extraction based on word alignment for improving corpus search

    Jelena Andonovski, Branislava Šandrih, Olivera Kitanović (2019)
    Library and Information Sciences,Computer Science Applications

  • Distant Reading in Digital Humanities: Case Study on the Serbian Part of the ELTeC Collection

    Ranka Stanković, Cvetana Krstev, Branislava Šandrih Todorović, Duško Vitas, Mihailo Škorić, Milica Ikonić Nešić (2022)
    In this paper we present the Serbian part of the ELTeC multilingual corpus of novels written in the time period 1840-1920. The corpus is being built in order to test various distant reading methods and tools with the aim of re-thinking the European literary history. We present the various steps that led to the production of the Serbian sub-collection: the novel selection and retrieval, text preparation, structural annotation, POS-tagging, lemmatization and named entity recognition. The Serbian sub-collection was published ...
    Corpus, Distant Reading, Digital Humanities, Linked Data, Named Entity Recognition, Text Analytics

  • Нове технологије за оживљавање старих текстова

    Цветана Крстев, Ранка Станковић, Бранислава Шандрих Тодоровић, Милица Иконић Нешић (2023)
    удаљено читање, књижевни корпус, обрада српског језика, анотација врстом речи, лематизација, именовани ентитети

  • Managing mining project documentation using human language technology

    Aleksandra Tomašević, Ranka Stanković, Miloš Utvić, Ivan Obradović, Božo Kolonja (2018)
    Purpose: This paper aims to develop a system, which would enable efficient management and exploitation of documentation in electronic form, related to mining projects, with information retrieval and information extraction (IE) features, using various language resources and natural language processing. Design/methodology/approach: The system is designed to integrate textual, lexical, semantic and terminological resources, enabling advanced document search and extraction of information. These resources are integrated with a set of Web services and applications, for different user profiles and use-cases. Findings: The ...
    Digital libraries, Information retrieval, Data mining, Human language technologies, Project documentation

  • An Italian-Serbian Sentence Aligned Parallel Literary Corpus

    Saša Moderc, Ranka Stanković, Aleksandra Tomašević, Mihailo Škorić (2023)
    This article presents the construction and relevance of an Italian-Serbian sentence-aligned parallel corpus, delving into the aligned sentences in order to facilitate effective translation between the two languages. The parallel corpus serves as a valuable resource for language experts, researchers, and language enthusiasts, fostering a deeper understanding of linguistic nuances and cultural expressions. By bridging the gap between Serbian and Italian, this corpus opens new avenues for cross-cultural communication and collaboration, and ultimately contributes to the improvement of language-related ...
    Aligned corpus, parallel corpus, Serbian, Italian, literature

  • Results of Recent Monitoring Activities on Landslide Umka, Belgrade, Serbia—IPL 181

    Biljana Abolmasov, Uroš Đurić, Jovan Popović, Marko Pejić, Mileva Samardžić Petrović, Nenad Brodić (2021)
    Klizišta, Monitoring, GNSS, Geodetska osmatranja, UAV snimci, PSInSAR
    ... monitoring tech- niques—automated GNSS monitoring system measure- ments, geodetic benchmark survey monitoring, UAV imaging, processing and analysis, and PSInSAR data processing and analysis. Results of all monitoring activ- ities were analysed and used for cross-correlation and for verification of ...
    ... mailto:mimas@grf.bg.ac.rs mailto:nbrodic@grf.bg.ac.rs https://doi.org/10.1007/978-3-030-60196-6_14 monitoring, UAV imaging, processing and analysis, and PSInSAR data processing and analysis, additionally to the existing GNNS monitoring system. The objective of this paper is to present the results of ...
    ... intro- duced techniques for landslide monitoring: geodetic bench- mark survey monitoring, UAV imaging with photogrammetric processing and analysis, and PSInSAR data processing and analysis. The main goals for introducing new monitoring techniques were: (1) to increase the number of surface monitoring ...

  • Integrative GHG Assessment in Oil and Gas Industry

    Aleksandar Mirković, Marija Živković, Stevan Đenadić, Darja Lubarda, Chinedu Anyanwa (2023)
    Reducing greenhouse gas emissions is one of the main targets of national strategies in European countries. As a main contributor to emissions, the energy sector is recognized as the most promising to apply measures and actions aimed to decrease GHG emissions. The Oil and Gas industry as a significant contributor to global greenhouse gas emissions is facing a growing need for estimating, mitigating, and reducing the impact of their operations on the atmosphere to stay competitive in a newly ...
    energetska tranzicija, gasovi staklene baste, industrija, nafta i gas
    ... and gas production and processing facility, including fugitivc emission and flaring. The calculation is based on data specifically derived to represent a typical upstream oil and gas company, which encompasses thc various activitics involved in production and processing. It considers the company's ...
    ... emissions inventory for the casec of complex industries such as Oil and Gas, including its specifics related to processes of Oil and Gas production and processing (flaring, fugitive emissions, etc.). The model is implemented for a case of a typical upstream oil and gas company, with the aim to identify the ...
    ... (hereinafter O&G) related activities contribute more than 52 50% of global GHG energy-related emissions mainly through hydrocarbon extraction, processing, and subsequent combustion processes |[1,2,8|. The O&G 3«sector has becen continuously impacting the global economy duc to intense cnergy demand ...

  • Environmental Noise Impact Assessment for Large-Scale Surface Mining Operations in Serbia

    Uros Pantelic, Petar Lilic, Aleksandar Cvjetic, Nikola Lilic (2023)
    Noise emissions are a significant environmental impact caused by the mining industry in all technological phases of surface mining, mineral processing, and waste disposal. This paper presents the role of noise impact assessment and control in large-scale surface mining operations. Mine planning develops the model of mining operations, ore excavation, and waste dumping scheduling and processing rates, including spatial distribution of mining activities. Such a level of mine planning requires an environmental impact assessment study. This can be achieved ...
    mine planning, noise impact assessment, mining, noise mapping, environmental impact assessment

  • Parallel Bidirectionally Pretrained Taggers as Feature Generators

    Ranka Stanković, Mihailo Škorić, Branislava Šandrih Todorović (2022)
    In a setting where multiple automatic annotation approaches coexist and advance separately but none completely solve a specific problem, the key might be in their combination and integration. This paper outlines a scalable architecture for Part-of-Speech tagging using multiple standalone annotation systems as feature generators for a stacked classifier. It also explores automatic resource expansion via dataset augmentation and bidirectional training in order to increase the number of taggers and to maximize the impact of the composite system, which ...
    анотација, обрада природног језика, издвајање обележја, композитне структуре, врста речи

  • Applying the Fuzzy Inference Model in Maintenance Centered to Safety: Case Study – Bucket Wheel Excavator

    Predrag Jovančić, Miloš Tanasijević, Vladimir Milisavljević, Aleksandar Cvjetić, Dejan Ivezić, Uglješa Bugarić (2020)

  • Transformer-Based Composite Language Models for Text Evaluation and Classification

    Mihailo Škorić, Miloš Utvić, Ranka Stanković (2023)
    Parallel natural language processing systems were previously successfully tested on the tasks of part-of-speech tagging and authorship attribution through mini-language modeling, for which they achieved significantly better results than independent methods in the cases of seven European languages. The aim of this paper is to present the advantages of using composite language models in the processing and evaluation of texts written in arbitrary highly inflective and morphology-rich natural language, particularly Serbian. A perplexity-based dataset, the main asset for the ...
    General Mathematics, Engineering (miscellaneous), Computer Science (miscellaneous)

  • Knowledge Graphs in the Era of Large Language Models: Opportunities and Challenges

    Danka Jokić, Ranka Stanković, Jelena Jaćimović (2024)
    Pojava velikih jezičkih modela (eng. Large Language Models ili LLMs) je značajno uticala na oblast veštačke inteligencije, naročito u oblastima obrade prirodnog jezika i generisanju teksta. Međutim, ključno ograničenje ovih modela leži u nedostatku strukturiranog znanja i sposobnosti zaključivanja, što otežava njihovu primenu u stvarnom svetu, gde se zahteva tačnost iznetih činjenica i zaključivanje na osnovu konteksta. S druge strane, grafovi znanja nude primamljivo rešenje. Oni pružaju bogat izvor strukturiranog znanja, tako što predstavljaju entitete i njihove relacije u ...
    grafovi znanja, veliki jezički modeli, obrada prirodnog jezika, strukturirano znanje, kvalitet podataka, objašnjiva veštačka inteligencija, bezbednost sadržaja na internetu

  • A business intelligence approach to mine safety management

    Ljiljana Kolonja, Ranka Stanković, Ivan Obradović, Olivera Kitanović, Dejan Stevanović, Marija Radojičić (2016)
    ... a combination of various information technologies, such as OLTP (On Line Transactional Processing), OLAP, WEB, SQL Server Reporting Services, etc. Hence, it is a system for direct analytical data processing implemented through Microsoft® SQL Server™ 2008 Analysis Services, which supports multid ...
    ... ontologies developed for mining engineering named RudOnto. Keywords: Business intelligence, Mine safety, Accident analysis, Online analytical processing (OLAP), Mine accident (injury) 1. Introduction Mine safety is one of the key issues in mining industry, and it is safe to say that research ...
    ... and the same within the entrepreneurial community. However, BI is more focused on decision making using data warehousing and online analytical processing (OLAP) techniques, where data warehousing pertains to collecting knowledge asset data into a repository, where it is organized and validated ...

  • Optimization and Analysis of Drilling and Blasting Parameters Using O-Pitblast Software

    Stefan Milanović, Nikola Simić, Lazar Kričak, Milanka Negovanović, Nikola Đokić (2024)
    The development of modern technologies has enabled the application of specialized softwares in the field of mining through various segments and processes, including in works related to drilling and blasting. The application of specialized software for drilling and blasting with the use of modern technologies such as photogrammetry enabled more accurate data from the field for later processing. By processing data and creating a 3D model of the terrain for drilling and blasting works, it can obtain precise data, ...
    optimizacija, 3D model, bušenje, miniranje, O-Pitblast, softver

  • Results of comprehensive monitoring activities on Umka landslide, Belgrade, Serbia

    Biljana Abolmasov, Uroš Đurić (2021)
    klizišta, monitoring
    ... landslide monitoring: automated GNSS monitorong network, geodetic benchmark survey monitoring, UAV imaging with photogrammetric processing and analysis, and PSInSAR data processing and analysis. Common to all implemented monitoring techniques is to measure displacement of the observed points (dx, dy, dz) ...
    ... monitoring network data, PSInSAR data analysis from Sentinel1 radar satellite images, conventional geodetic monitoring network data and UAV imaging, processing and data analysis in the last six years. Study area The Umka landslide is formed on the right Sava river bank, 22 km southwest from Belgrade ...