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Упит dcterms_subject_txt:machine learning

119 items

  • A bilingual digital library for academic and entrepreneurial knowledge management

    Ranka Stanković, Cvetana Krstev, Biljana Lazić, Dalibor Vorkapić (2015)
    A generic knowledge management process of organization, storage and retrieval of knowledge can suitably be fitted in a digital library. In the digital and knowledge age digital libraries can be used in knowledge management to handle intellectual assets and support knowledge creation. A multilingual digital library either stores content in more than one language or provides multilingual query access to monolingual content. In Serbia 18 of 308 scientific journals regularly published are bi-lingual, with papers simultaneously being in English ...
    Knowledge management, Digital library, Multilingualism, Language Resources, Terminology
    ... English term “e-learning”, while the English term e-learning is translated in most cases with “elektronsko učenje” (43), but also with “e-učenje” (38), “e- obrazovanje” (2), “e-nastava” (2), and “učenje na daljinu” (6). Translation for “e- learning” occurs twice while “e-learning” appears 93 times ...
    ... operator (OR). For example, for the keyword “learning”, WordNet offers the following synonyms in English: “acquisition”, “encyclopaedism”, “encyclopaedism”, “eruditeness”, “erudition”, “learnedness”, “learning”, “scholarship”, while RudOnto offers just “learning”. If the user wants to use other relations ...
    ... have no other English equivalent in our DL other than distance learning. Finally, we also add electronic learning to our query, but we obtain the same result. As a result of our research, we can conclude that the English term “e-learning” has two Serbian equivalents: “e-učenje” and “elektronsko učenje” ...

  • Creating an environment for free education and technology enhanced learning

    Radojičić Marija, Obradović Ivan, Tatar Saša, Linzalone Roberto, Schiuma Giovanni, Carlucci Daniela (2014)

  • Terminological and lexical resources used to provide open multilingual educational resources

    Biljana Lazić, Danica Seničić, Aleksandra Tomašević, Bojan Zlatić (2016)
    Open educational resources (OER) within BAEKTEL (Blending Academic and Entrepreneurial Knowledge in Technology enhanced learning) network will be available in different languages, mostly in the languages of Western Balkans, Russian and English. University of Belgrade (UB) hosts a central repository based on: BAEKTEL Metadata Portal (BMP), terminological web application for management, browse and search of terminological resources, web services for linguistic support (query expansion, information retrieval, OER indexing, etc.), annotation of selected resources and OER repository on local edX ...
    otvoreni obrazovni resursi, leksički resursi, obrada prirodnih jezika, terminologija
    ... Processing, Terminology 1. INTRODUCTION Natural Language Processing (NLP) has a two-faceted approach to education where one involves e-learning and computer-assisted learning and instruction and the other consists of NLP tools for analysis and use of language by machines [1]. The usage and application ...
    ... universities and numerous possibilities provided by e-learning applications, the Technology Enabled Assessment (TEA) has shown significant growth as well. Further on, Intelligent Tutoring Systems (ITS) were developed and incorporated in the learning process, while later work also included spoken language ...
    ... with the development of spoken language technologies. One of the major examples of applied NLP in e-learning are the open-access MOOC 1 platforms which are changing the face of distant learning and education altogether by erasing geographical and spatial constraints, leaving the traditional education ...

  • Conventional and machine learning methods for landslide assessment in GIS

    Marjanović Miloš (2014)

  • Landslide susceptibility assessment using SVM machine learning algorithm

    Marjanović Miloš, Kovačević Miloš, Bajat Branislav, Voženilek Vít (2011)

  • Landslide Assessment of Starča Basin (Croatia) Using Machine Learning Algorithms

    Marjanović Miloš, Kovačević Milan, Bajat Branislav, Mihalić Snježana, Abolmasov Biljana (2011)

  • Advancing Sentiment Analysis in Serbian Literature: A Zero and Few-Shot Learning Approach Using the Mistral Model

    Milica Ikonić Nešić, Saša Petalinkar, Mihailo Škorić, Ranka Stanković, Biljana Rujević (2024)
    Ova studija predstavlja analizu sentimenta srpskih starih romana iz perioda 1840-1920, koristeći veliki jezički model (LLM) Mistral za tehniku učenja sa zasnovani na takozvanim "zero" i "few-shot" pokušajima. Glavni pristup uvodi inovacije osmišljavanjem istraživačkih upita (promptova) uključuju tekst sa uputstvom za klasifikaciju bez primera i na osnovu nekoliko primera, omogućavajući jezičkom modelu da klasifikuje osećanja u pozitivne, negativne ili objektivne kategorije. Ova metodologija ima za cilj da pojednostavi analizu osećanja ograničavanjem odgovora, čime se povećava preciznost ...
    zero-shot, few-shot, sentiment, Serbian, Mistral model

  • Machine Learning and Landslide Assessment in a GIS Environment

    Marjanović Miloš, Bajat Branislav, Abolmasov Biljana, Kovaćević Miloš (2018)

  • Development of Open Educational Resources (OER) for Natural Language Processing

    Cvetana Krstev, Biljana Lazić, Ranka Stanković, Giovanni Schiuma, Miladin Kotorčević (2015)
    In this paper we present the development of an online course at the edX BAEKTEL platform named “Lexical Recognition in the Natural Language Processing (NLP)”. It is based on the course of the same name for PhD studies at the University of Belgrade, Faculty of Philology. There are not many courses in Computational Linguistics (CL) on OER platforms, and there is none in Serbian either for CL or NLP. We have developed this course in order to improve this ...
    E-Learning, Open Educational Resources, Computational Linguistics, Lexical Resources, edX
    ... BAEKTEL The BAEKTEL project (http:\\baektel.eu) has the objective to foster active learning and better motivation through implementation of new technologies in the teaching process. Technology enhanced learning (TEL) 4http://jerteh.rs/index.php/zbornici/?lang=en 5https://www.coursera.org/course/nlp ...
    ... eln/start%23corsi_affini represents all forms of teaching and learning where ICT systems are used as media for implementing the educational process, not only in educational institutions, but also through life-long learning programs, using virtual classrooms and digital collaboration. The ...
    ... biblioteka Srbije: Belgrade. p. 117-122. [10] Stanković, R., et al., Building terminological resources in an e-learning environment, in The third International Conference on e-Learning. Belgrade, Serbia. p. 114-119. [11] Paumier, S., Unitex 3.1 Beta: User Manual. 2015, Paris: Université Paris-Est ...

  • Land-use suitability analysis of Belgrade city suburbs using machine learning algorithm

    Đurić Uroš, Marjanović Miloš, Šušić Vladimir, Petrović Rastko, Abolmasov Biljana, Zečević Snežana, Basarić Irena (2013)

  • Comparison of expert, deterministic and Machine Learning approach for landslide susceptibility assessment in Ljubovija Municipality, Serbia

    Krušić Jelka, Marjanović Miloš, Mileva Samarđić-Petrović, Abolmasov Biljana, Andrejev Katarina, Miladiović Aleksandar (2017)

  • Parallel Stylometric Document Embeddings with Deep Learning Based Language Models in Literary Authorship Attribution

    Mihailo Škorić, Ranka Stanković, Milica Ikonić Nešić, Joanna Byszuk, Maciej Eder (2022)
    This paper explores the effectiveness of parallel stylometric document embeddings in solving the authorship attribution task by testing a novel approach on literary texts in 7 different languages, totaling in 7051 unique 10,000-token chunks from 700 PoS and lemma annotated documents. We used these documents to produce four document embedding models using Stylo R package (word-based, lemma-based, PoS-trigrams-based, and PoS-mask-based) and one document embedding model using mBERT for each of the seven languages. We created further derivations of these ...
    General Mathematics, Engineering (miscellaneous), Computer Science (miscellaneous)

  • OER obrazovni sadržaji kao spona između akademskog i preduzetničkog znanja

    Ivan Obradović, Ranka Stanković, Marija Radojičić (2014)
    ... obrazovnih objekata (Learning Object - LO), odnosno samostalnih materijala za učenje opisanihmetapodacima, koji omogućavaju njihovo pretraživanje, prosleđivanje i ponovnu upotrebu. Sa sve većim brojem LO, počela je njihova organizacija u takozvane repozitorijume obrazovnih objekata (Learning Object Repositories- ...
    ... OER). In: theCommonwealth of Learning, 2011. [2] C.J. Bonk. The world is open: How web technology is revolutionizing education,Wiley, 2009. [3] D. Millard, K. Borthwhick, Y. Howard, P. McSweeny, C. Hargood. The HumBox:Changing educational practice around a learning resource repository. In: Computers ...
    ... /38654317.pdf, 2007. [5] F. Neven, E. Duval. Reusable learning objects: a survey of LOM-based repositories. In Proceedings of the tenth ACM international conference on multimedia. 2002, 291–294, New York, NY: ACM. [6] S. Downes. Learning objects: resources for distance education worldwide. The ...

  • 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

  • Towards translation of educational resources using GIZA++

    Ivan Obradović, Dalibor Vorkapić, Ranka Stanković, Nikola Vulović, Miladin Kotorčević (2016)
    ... published as well as the corresponding cultural context. That is why the tools for translation of e-learning courses and translation support are nowadays one of the most important topics in this area. E-learning course translation is a very special service that requires specific subject- matter expertise ...
    ... presented. The paper also describes the translation memory in the form of parallel sentences or phrases required by GIZA++ for the learning algorithm. Keywords: E-Learning, GIZA++, translation memory 1. INTRODUCTION Massive Οpen Online Courses (MOOCs) are becoming very popular recently. More ...
    ... web services and Mongo and other NoSQL databases. Image 2: An example excerpt from a TMX document 5. TOWARDS MACHINE TRANSLATION FOR SERBIAN Moses is a statistical machine translation system written in C++ with library that enables usage of Moses in the JavaScript language. Loading multiple ...

  • Application of geophysical and multispectral imagery data for predictive mapping of a complex geo-tectonic unit: a case study of the East Vardar Ophiolite Zone, North-Macedonia

    Filip Arnaut, Dragana Đurić, Uroš Đurić, Mileva Samardžić-Petrović, Igor Peshevski (2024)
    General Earth and Planetary Sciences
    ... the study by devel- oping the very first models and utilizing machine learning algorithms. Subsequently, Mileva Samardžić-Petrović took charge of the statistical analyses and delved into the initial exploration of machine learning algorithms. Building upon this groundwork, Filip Arnaut made signifi- ...
    ... A comparison of five machine learning algorithms, their response to variations in the spatial distribution of training data and the use of explicit spatial information. Comput Geosci 63:22—33. https://doi.org/10.1016/j.cageo.2013.10.008 Cracknell JM (2014) Machine Learning for Geological Mapping: ...
    ... Introduction to Statistical Learning: With Applications in R. Springer, New York Joshi MV (2002) On evaluating performance of classifiers for rare classes. IEEE Int Conf on Data Mining, Maebashi City, Japan 641:644 Kanevski M, Pozdnukhov A, Timonin V (2009) Machine Learning for Spatial Environmental ...

  • Quantitative landslide risk assessment in the city of Tuzla

    Miloš Marjanović, Biljana Abolmasov, Cvjetko Sandić, Miralem Mulać, Petar Begović (2021)
    In the climate-changing conditions, geological environment interacts more dramatically with the urban fabric than before. The urbanization is expansive and more aggressive than before, but so are the weather extremes and long-term climate trends. In effect, many processes which can be triggered by either side, nature or engineering, are becoming more pervasive than before, and such is the case with landslides. Dealing and managing landslides requires few crucial steps, starting from collecting data on landslide location and typology – ...
    "landslides", "risk assessment"
    ... , (2011) “Landslide susceptibility assessment using SVM machine learning algorithm”. Engineering Geology 123 (3): 225–234. Marjanović, M., Samardžić-Petrović, M., Abolmasov, B., Đurić, U. (2019) “Concepts for improving machine learning based landslide assessment”. Natural Hazards GIS-based Spatial ...
    ... environmental factors, as well as synthetic GIS-based derivatives; splitting the area into training and testing/validating parts; training the Machine Learning algorithm, Support Vector Machines in particular, over a reasonable training sample size (25-33%) using landslide inventory as a reference; ...
    ... month and a half, which is more than 6 months’ worth of rainfall in normal conditions. A detailed landslide risk assessment study, using SVM Machine Learning technique (Marjanović et al. 2011) for susceptibility assessment and high- resolution data for landslide and elements at risk inventories was ...

  • English for Geology Students. 2

    Lidija Beko (2023)
    Engleski jezik
    ... this can facilitate learning, and provide overall motivation for the students to find an easier way towards acquisition. In other words, this approach to visualization allows for a facilitated connection-making between registers while at the same time referring to active learning within the given ...
    ... language knowledge, can be continued by creating paper vocabulary cards, and later even electronic cards, which would ensure continuity in vocabulary learning by including modern educational techno- logies. As previously emphasized, the aim of teaching vocabulary is its active application and all the ...

  • 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 ...
    ... patterns to express term-definition relations; 2) the feature engineering approach relying on the statistical machine learning models with syntax and semantic features; 3) the deep learning approach, using word embeddings via multiple layers of neural networks (Veyseh et al., 2020). Barnbrook (2002) ...
    ... 1–3 October 2019, Sintra, Portugal, eds. I. Kosem et als., pp. 248–269. Stanković, R., Šandrih, B., Krstev, C., Utvić M. & Škorić M. (2020). Machine Learning and Deep Neural Network-Based Lemmatization and Morphosyntactic Tagging for Serbian. In: Proceedings of the 12th International Conference on ...
    ... Habrard, A. (2017). Dict2vec: Learning Word Embeddings using Lexical Dictionaries. In Proceeding of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2017), Sep 2017, Copenhague, Denmark. pp. 254-263. Navigli, R. & Velardi, P. (2010). Learning Word-Class Lattices for Definition ...

  • Machine Learning and Deep Neural Network-Based Lemmatization and Morphosyntactic Tagging for Serbian

    Ranka Stanković, Branislava Šandrih, Cvetana Krstev, Miloš Utvić, Mihailo Škorić (2020)
    The training of new tagger models for Serbian is primarily motivated by the enhancement of the existing tagset with the grammatical category of a gender. The harmonization of resources that were manually annotated within different projects over a long period of time was an important task, enabled by the development of tools that support partial automation. The supporting tools take into account different taggers and tagsets. This paper focuses on TreeTagger and spaCy taggers, and the annotation schema alignment ...
    Part-of-Speech tagging, lemmatization, corpus, evaluation, Serbian, morphological dictionary
    ... 04:08:56 Machine Learning and Deep Neural Network-Based Lemmatization and Morphosyntactic Tagging for Serbian Ranka Stanković, Branislava Šandrih, Cvetana Krstev, Miloš Utvić, Mihailo Škorić Дигитални репозиторијум Рударско-геолошког факултета Универзитета у Београду [ДР РГФ] Machine Learning and Deep ...
    ... Evaluation (LREC 2020), pages 3954–3962 Marseille, 11–16 May 2020 c© European Language Resources Association (ELRA), licensed under CC-BY-NC 3954 Machine Learning and Deep Neural Network-Based Lemmatization and Morphosyntactic Tagging for Serbian Ranka Stanković, Branislava Šandrih, Cvetana Krstev, Miloš ...
    ... task, the so-called ‘taggers’, can be based on lookup-tables, regular expres- sions, linguistic (morphological, semantic and syntactic) rules, machine learning methods (Giménez and Màrquez, 2004; Denis and Sagot, 2009; Manning et al., 2014) or state-of-the-art Deep Neural Networks (DNNs) (Huang et ...