Претрага
28 items
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Football terminology: compilation and transformation into OntoLex-Lemon resource
У овом раду представља се пројекат који је у развоју, креирање првог дигиталног фудбалског речника на српском језику, као и да демонстрација примене модела OntoLex и љегових модула. OntoLex-FrAC модул укључује информације о учесталости и примерима употребе екстрахованих из корпуса. У овом случају, креиран је корпус за специфичан домен под називом СрФудКо, који садржи чланке вести о фудбалу на српском језику. Вишечлани термини аутоматски су екстраховани из српског корпуса, а затим ручно евалуирани и класификовани као спортски или ...Jelena Lazarević, Ranka Stanković, Mihailo Škorić, Biljana Rujević. "Football terminology: compilation and transformation into OntoLex-Lemon resource" in LDK 2023 – 4th Conference on Language, Data and Knowledge, 12-15 September in Vienna, Austria, Lisabon : NOVA FCSH - CLUNL (2023). https://doi.org/10.34619/srmk-injj
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Transformer-Based Composite Language Models for Text Evaluation and Classification
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 ...Mihailo Škorić, Miloš Utvić, Ranka Stanković. "Transformer-Based Composite Language Models for Text Evaluation and Classification" in Mathematics, MDPI AG (2023). https://doi.org/10.3390/math11224660
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The Use of the Omeka Semantic Platform for the Development of the University of Belgrade, Faculty of Mining and Geology Digital Repository
Under the regulations of the Ministry of Education, Science and technological Development, a digital repository based on the Omeka S data storage platform has been developed for the Faculty of Mining and Geology. The platform has been upgraded with the required modular extensions, Solr index and automatic OCR. Furthermore, document indexing and search have been fine-tuned with the aid of e-dictionaries of the Serbian language, which has brought about outstanding results in terms of usage facilitation and overall ...Petar Popović, Mihailo Škorić, Biljana Rujević. "The Use of the Omeka Semantic Platform for the Development of the University of Belgrade, Faculty of Mining and Geology Digital Repository" in Infotheca, Faculty of Philology, University of Belgrade (2021). https://doi.org/10.18485/infotheca.2020.20.1_2.9
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An Italian-Serbian Sentence Aligned Parallel Literary Corpus
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 ...Saša Moderc, Ranka Stanković, Aleksandra Tomašević, Mihailo Škorić. "An Italian-Serbian Sentence Aligned Parallel Literary Corpus" in Review of the National Center for Digitization, Belgrade : Faculty of Mathematics, University of Belgrade (2023). https://doi.org/10.5281/zenodo.11203388
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Data from the Digital Repository of the Faculty of Mining and Geology in eScience (eNauka)
Biljana Rujević, Mihailo Škorić (2024)The paper describes linking the Digital Repository of the University of Belgrade, Faculty of Mining and Geology, with the eScience system in terms of transferring metadata about the results of researchers' scientific work. The steps taken to ensure a smooth harvesting of metadata are outlined. Additionally, a presentation of additional improvements to the OAI system is provided, aiming to contribute to the automatic linking of authors with their results in the eScience system.Biljana Rujević, Mihailo Škorić. "Data from the Digital Repository of the Faculty of Mining and Geology in eScience (eNauka)" in Infotheca, Faculty of Philology, University of Belgrade (2024). https://doi.org/10.18485/infotheca.2023.23.2.4
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Towards Semantic Interoperability: Parallel Corpora as Linked Data Incorporating Named Entity Linking
U radu se prikazuju rezultati istraživanja vezanih za pripremu paralelnih korpusa, fokusirajući se na transformaciju u RDF grafove koristeći NLP Interchange Format (NIF) za lingvističku anotaciju. Pružamo pregled paralelnog korpusa koji je korišćen u ovom studijskom slučaju, kao i proces označavanja delova govora, lematizacije i prepoznavanja imenovanih entiteta (NER). Zatim opisujemo povezivanje imenovanih entiteta (NEL), konverziju podataka u RDF, i uključivanje NIF anotacija. Proizvedene NIF datoteke su evaluirane kroz istraživanje triplestore-a korišćenjem SPARQL upita. Na kraju, razmatra se povezivanje Linked ...paralelni korpusi, povezivanje imenovanih entiteta, prepoznavanje imenovanih entiteta, NER, NEL, povezani podaci, NIF, VikipodaciRanka Stanković, Milica Ikonić Nešić, Olja Perisic, Mihailo Škorić, Olivera Kitanović. "Towards Semantic Interoperability: Parallel Corpora as Linked Data Incorporating Named Entity Linking" in Proceedings of the 9th Workshop on Linked Data in Linguistics @ LREC-COLING 2024, Turin, 20-25 May 2024, ELRA and ICCL (2024)
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Језички модели, шта је то?
Михаило Шкорић (2023)Михаило Шкорић. "Језички модели, шта је то?" in Језик данас, Нови Сад : Матица српска (2023)
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Advancing Sentiment Analysis in Serbian Literature: A Zero and Few-Shot Learning Approach Using the Mistral Model
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 ...Milica Ikonić Nešić, Saša Petalinkar, Mihailo Škorić, Ranka Stanković, Biljana Rujević. "Advancing Sentiment Analysis in Serbian Literature: A Zero and Few-Shot Learning Approach Using the Mistral Model" in Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, Sofia, Bulgaria, 9-10 September 2024, LREC | COLING (2024)