Претрага
242 items
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Extreme Rainfall Event and Its Aftermath Analysis—IPL 210 Project Progress Report
Biljana Abolmasov, Mileva Samardžić Petrović, Ranka Stanković, Miloš Marjanović, Jelka Krušić, Uroš Đurić (2021)Biljana Abolmasov, Mileva Samardžić Petrović, Ranka Stanković, Miloš Marjanović, Jelka Krušić, Uroš Đurić. "Extreme Rainfall Event and Its Aftermath Analysis—IPL 210 Project Progress Report" in Understanding and Reducing Landslide Disaster Risk, Springer International Publishing (2021). https://doi.org/10.1007%2F978-3-030-60196-6_19
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Infotheca (Q25460443) in Wikidata
Ranka Stanković, Lazar Davidović (2021)Vikipodaci su baza znanja Zadužbine Vikimedija koja predstavlja zajednički izvor različitih vrsta podataka koje koriste ne samo drugi Vikipedijini projekti, već sve više i brojne aplikacije semantičkog veba. U ovom radu ćemo prezentovati primer integracije Vikipodataka sa digitalnim bibliotekama i eksternim sistemima, kao i mogućnost ubrzanja pripreme i unosa podataka na primeru radova iz časopisa za digitalnu humanistiku Infoteka.Ranka Stanković, Lazar Davidović. "Infotheca (Q25460443) in Wikidata" in Infotheca, Faculty of Philology, University of Belgrade (2021). https://doi.org/10.18485/infotheca.2021.21.1.5
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Production information system of the Pljevlja coal mine
Božo Kolonja, Ranka Stanković, Filip Vuković . "Production information system of the Pljevlja coal mine" in Mine Planning and Equipment Selection 2000, Routledge (2018). https://doi.org/10.1201/9780203747124-154
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Hibridni sistem za planiranje i analizu ventilacije rudnika
Nikola Lilić, Ranka Stanković, Ivan Obradović. Hibridni sistem za planiranje i analizu ventilacije rudnika, Rudarsko-geološki fakultet, Univerzitet u Beogradu, 2000
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Praktikum za vežbe iz Informatike 1
Ranka Stanković, Ivan Obradović, Olivera Kitanović, Mirjana Banković. Praktikum za vežbe iz Informatike 1, Beograd : Univerzitet u Beogradu, Rudarsko-geološki fakultet, 2014
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Нове технологије за оживљавање старих текстова
удаљено читање, књижевни корпус, обрада српског језика, анотација врстом речи, лематизација, именовани ентитетиЦветана Крстев, Ранка Станковић, Бранислава Шандрих Тодоровић, Милица Иконић Нешић. "Нове технологије за оживљавање старих текстова" in Зборник радова Међународне научне конференције Дигитална хуманистика и словенско културно наслеђе II, Београд, 28-29 јуни 2021., Београд : Савез славистичких друштава Србије (2023)
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Fourth Summer Datathon on Linguistic Linked Open Data
Tijana Radović, Ranka Stanković (2023)The 4th Summer Datathon on Linguistic Linked Open Data (SD-LLOD-22) was held in Spain, in Cersedilla near Madrid, in May 2022, and organized by the COST Action NexusLinguarum. The school gathered interested researchers, academics, students who wanted to acquire and/or expand their knowledge in the field of linguistic linked data science. During the school, a spectrum of topics from the field of linked data was presented, from various ontologies, through document integration, annotation and natural language text processing tools ...Tijana Radović, Ranka Stanković. "Fourth Summer Datathon on Linguistic Linked Open Data" in Infotheca, Faculty of Philology, University of Belgrade (2023). https://doi.org/10.18485/infotheca.2023.23.1.6
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Lower Miocene terrestrial sediments from the Vrdnik Formation near Beočin (Fruška Gora mt., Serbia) – a preliminary geochemical data.
Rundić Ljupko, Đorđević Dragan, Stanković Maja, Đorđević Milan, Krstić Nenad. "Lower Miocene terrestrial sediments from the Vrdnik Formation near Beočin (Fruška Gora mt., Serbia) – a preliminary geochemical data." in 5th International Workshop on Neogene of Central and SE Europe, Varna, Bugarska:BAN, Bugarska (2013): 53-54
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Tehničko rešenje Programski sistem za planiranje eksploatacije i deponovanja uglja u cilju upravljanja kvalitetom uglja
Kolonja Božo, Knežević Dinko, Stanković Ranka, Lilić Nikola, Ignjatović Dragan, Jovančić Predrag, Stevanović Dejan, Kolonja Ljiljana, Banković Mirjana, Tomašević Aleksandra (2014)Kolonja Božo, Knežević Dinko, Stanković Ranka, Lilić Nikola, Ignjatović Dragan, Jovančić Predrag, Stevanović Dejan, Kolonja Ljiljana, Banković Mirjana, Tomašević Aleksandra. Tehničko rešenje Programski sistem za planiranje eksploatacije i deponovanja uglja u cilju upravljanja kvalitetom uglja, Rudarsko-geološki fakultet, Univerzitet u Beogradu, 2014
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Investigation of the microbial diversity of an extremely acidic, metal-rich water body (Lake Robule, Bor, Serbia)
Stanković S., Morić I. R., Pavić A.B., Vasiljević B.Z., Johnson D.B., Cvetković Vladica. "Investigation of the microbial diversity of an extremely acidic, metal-rich water body (Lake Robule, Bor, Serbia)" in Journal of the Serbian Chemical Society 79 no. 6, Beograd, Serbia:Serbian Chemical Society (2014): 729-741. https://doi.org/10.2298/JSC130605071S
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Sensitive Determination of Copper on New Modified Glassy Carbon Paste Electrode
Škrivanj Sandra, Stanković M. Dalibor, Khan Muslim, Nikolić S. Aleksandar, Vulić Predrag, Manojlović D. Dragan (2015)Škrivanj Sandra, Stanković M. Dalibor, Khan Muslim, Nikolić S. Aleksandar, Vulić Predrag, Manojlović D. Dragan. "Sensitive Determination of Copper on New Modified Glassy Carbon Paste Electrode" in Analytical & Bioanalytical Electrochemistry 2 no. 7 (2015): 230-241
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Biogenesis of secondary mycogenic minerals related to wall paintings deterioration process.
Nikola Unković, Suzana Erić, Kristina Šarić, Miloš Stupar, Žaljko Savković, Slaviša Stanković, Olja Stanojević, Ivica Dimkić, Jelena Vukojević, Milica Ljaljević Grbić (2017)Nikola Unković, Suzana Erić, Kristina Šarić, Miloš Stupar, Žaljko Savković, Slaviša Stanković, Olja Stanojević, Ivica Dimkić, Jelena Vukojević, Milica Ljaljević Grbić. "Biogenesis of secondary mycogenic minerals related to wall paintings deterioration process." in Micron 100, :Elsevier (2017): 1-9
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A Description of Morphological Features of Serbian: a Revision using Feature System Declaration
In this paper we discuss some well-known morphological descriptions used in various projects and applications (most notably MULTEXT-East and Unitex) and illustrate the encountered problems on Serbian. We have spotted four groups of problems: the lack of a value for an existing category, the lack of a category, the interdependence of values and categories lacking some description, and the lack of a support for some types of categories. At the same time, various descriptions often describe exactly the same ...Cvetana Krstev, Ranka Stanković, Vitas Duško. "A Description of Morphological Features of Serbian: a Revision using Feature System Declaration" in Proceedings of the 5th International Conference on Language Resources and Evaluation, LREC 2010, Valetta, Malta : European Language Resources Association (2010)
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A Mathematical Learning Environment Based on Serbian Language Resources
In recent years, in line with ever growing usage of Information technology, the learning environments are changing. The amount of available learning materials in various forms has increased. These new environments demand comprehensive learning systems, which enable management of the learning corpus with special attention paid to relevant lexical resources. In this paper we present the concept of a Mathematical Learning Environment in Serbian (MLES), which is based on a corpus of mathematical materials and various lexical resources, enabling ...Radojičić Marija, Obradović Ivan, Stanković Ranka, Utvić Miloć, Kaplar Sebastijan. "A Mathematical Learning Environment Based on Serbian Language Resources" in Proceedings of the 7th International Scientific Conference Technics and Informatics in Education, Faculty of Technical Sciences, Čačak (2018)
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Combining Heterogeneous Lexical Resources
Cvetana Krstev, Duško Vitas, Ranka Stanković, Ivan Obradović, Gordana Pavlović-Lažetić. "Combining Heterogeneous Lexical Resources" in Proceedings of the Fourth Interantional Conference on Language Resources and Evaluation, Lisabon, Portugal , May 2004, vol. 4, ELRA - European Language Resources Association (2004)
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Претрага корпуса заснована на употреби екстерних лексичких ресурса путем веб-сервиса
У раду се разматра хибридни приступ претрази корпуса, илустрован на примеру алатки OCWB и NoSketch Engine, примењених на специјални корпус из области рударства (РудКор) и Корпус савременог српског језика (СрпКор). Разматрани приступ комбинује постојеће могућности алатки OCWB и NoSketch Engine, које своју претрагу заснивају на лингвистичкој анотацији корпуса, са новим могућностима претраге у виду консултовања екстерних језичких ресурса (морфолошки електронски речници српског језика и лексичка база података Српски ворднет). Хибридни приступ је реализован надоградњом вебсучеља која поменуте алатке користе ...Милош Утвић, Ранка Станковић, Александра Томашевић, Михаило Шкорић, Биљана Лазић. "Претрага корпуса заснована на употреби екстерних лексичких ресурса путем веб-сервиса" in Научни састанак слависта у Вукове дане - Vol. 48/3 Српски језик и његови ресурси, Међународни славистички центар, Филолошки факултет, Универзитет у Београду (2019). https://doi.org/10.18485/msc.2019.48.3.ch12
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Machine Learning and Deep Neural Network-Based Lemmatization and Morphosyntactic Tagging for Serbian
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 ...Ranka Stanković, Branislava Šandrih, Cvetana Krstev, Miloš Utvić, Mihailo Škorić. "Machine Learning and Deep Neural Network-Based Lemmatization and Morphosyntactic Tagging for Serbian" in Proceedings of the 12th Language Resources and Evaluation Conference, May Year: 2020, Marseille, France, European Language Resources Association (2020)
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Development and Evaluation of Three Named Entity Recognition Systems for Serbian - The Case of Personal Names
In this paper we present a rule- and lexicon-based system for the recognition of Named Entities (NE) in Serbian news paper texts that was used to prepare a gold standard annotated with personal names. It was further used to prepare training sets for four different levels of annota tion, which were further used to train two Named Entity Recognition (NER) sys tems: Stanford and spaCy. All obtained models, together with a rule- and lexicon based system were evaluated on ...Branislava Šandrih, Cvetana Krstev, Ranka Stanković. "Development and Evaluation of Three Named Entity Recognition Systems for Serbian - The Case of Personal Names" in Proceedings - Natural Language Processing in a Deep Learning World, Incoma Ltd., Shoumen, Bulgaria (2019). https://doi.org/10.26615/978-954-452-056-4_122
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Coupling of artificial intelligence methods in the development of hybrid intelligent systems
In this paper we present an approach which couples various artificial intelligence (AI) methods in the solution of complex problems that cannot adequately be solved by a single AI method. We argue that the resulting, hybrid intelligent systems (HIS) can be successfully implemented with the use of available AI software libraries. Different coupling methods are analyzed and a classification of hybrid systems based on the chosen method is given. Two case studies of hybrid systems used in mining engineering ...hibridni inteligentni sistemi, spregnuti sistemi, metode veštačke inteligencije, rudarske primene veštačke inteligencijeRanka Stanković, Ivan Obradović, Nikola Lilić. "Coupling of artificial intelligence methods in the development of hybrid intelligent systems" in X Kongres Matematičara, Matematički fakultet, Beograd (2001)
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Quantitative analysis of syllable properties in Croatian, Serbian, Russian, and Ukrainian
Biljana Rujević, Marija Kaplar, Sebastijan Kaplar, Ranka Stanković, Ivan Obradović, Jan Mačutek (2021)Biljana Rujević, Marija Kaplar, Sebastijan Kaplar, Ranka Stanković, Ivan Obradović, Jan Mačutek. "Quantitative analysis of syllable properties in Croatian, Serbian, Russian, and Ukrainian" in Language and Text: Data, models, information and applications, John Benjamins Publishing Company (2021). https://doi.org/10.1075/cilt.356.04ruj