Претрага
403 items
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Development of Open Educational Resources (OER) for Natural Language Processing
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 ...Cvetana Krstev, Biljana Lazić, Ranka Stanković, Giovanni Schiuma, Miladin Kotorčević. "Development of Open Educational Resources (OER) for Natural Language Processing" in The Sixth International Conference on e-Learning (eLearning-2015), September 2015, Belgrade, Serbia, Belgrade : Belgrade Metropolitan Univesity (2015)
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LRMI markup of OER content within the BAEKTEL project
Ranka Stanković, Daniela Carlucci, Olivera Kitanović, Nikola Vulović, Bojan Zlatić. "LRMI markup of OER content within the BAEKTEL project" in The Sixth International Conference on e-Learning (eLearning-2015), September 2015, Belgrade, Serbia, Belgrade : Belgrade Metropolitan Univesity (2015)
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Development of A Business Intelligence Tool For Accident Analysis in Mines
Ljiljana Kolonja, Ranka Stanković, Ivan Obradović, Olivera Kitanović, Uroš Pantelić. "Development of A Business Intelligence Tool For Accident Analysis in Mines" in Proceedings of the 5th International Symposium Mining And Environmental Protection, June 10-13, 2015, Vrdnik, Serbia, Belgrade : Faculty of Mining and Geology (2015)
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Application of stochastic models for mine planning and coal quality control
Dejan Stevanović, Božo Kolonja, Ranka Stanković, Dinko Knežević, Mirjana Banković. "Application of stochastic models for mine planning and coal quality control" in Thermal Science, Belgrade : Vinča Institute of Nuclear Sciences (2014). https://doi.org/10.2298/TSCI130201031S
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Развој геолошког терминолошког речника ГеолИССТерм
Ranka Stanković, Branislav Trivić, Olivera Kitanović, Branislav Blagojević, Velizar Nikolić. "Развој геолошког терминолошког речника ГеолИССТерм" in INFOteka: časopis za informatiku i bibliotekarstvo, Beograd : Zajednica biblioteka univerziteta u Srbiji (2011)
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Development of terminological resources for expert knowledge: a case study in mining
... Kolonja, Ranka Stanković, Ivan Obradović, Olivera Kitanović, Aleksandar Cvjetić Дигитални репозиторијум Рударско-геолошког факултета Универзитета у Београду [ДР РГФ] Development of terminological resources for expert knowledge: a case study in mining | Ljiljana Kolonja, Ranka Stanković, Ivan Obradović ...
... 7th Interna- tional Conference on Formal Ontology in Information Systems (DONNELLY M and GUIZZARDI G, Eds), pp 133–146, Graz, Austria. KOLONJA B, STANKOVIĆ R, VUKOVIĆ F and OBRADOVIĆ I (2006) An approach to management decision support: the coal mine pljevlja manage- ment information system. In Proceedings ...
... Proceedings of the Fifteenth International Symposium on Mine Planning and Equipment Selection (CARDU M, Ed), 1, pp 436–441. KRSTEV C, OBRADOVIĆ I, STANKOVIĆ R and VITAS D (2013) An approach to efficient processing of multi-word units. In Computational Linguistics: Applications (PRZEPIÓRKOWSKI A, PIASECKI ...Ljiljana Kolonja, Ranka Stanković, Ivan Obradović, Olivera Kitanović, Aleksandar Cvjetić. "Development of terminological resources for expert knowledge: a case study in mining" in Knowledge Management Research & Practice, Palgrave Macmillan (2015). https://doi.org/10.1057/kmrp.2015.10
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Upravljanje kvalitetom uglja
Ignjatović Dragan, Knežević Dinko, Kolonja Božo, Lilić Nikola, Stanković Ranka. Upravljanje kvalitetom uglja, :Univerzitet u Beogradu - Rudarsko-geološki fakultet, 2007
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Automatic construction of a morphological dictionary of multi-word units
The development of a comprehensive morphological dictionary of multi-word units for Serbian is a very demanding task, due to the complexity of Serbian morphology. Manual production of such a dictionary proved to be extremely time-consuming. In this paper we present a procedure that automatically produces dictionary lemmas for a given list of multi-word units. To accomplish this task the procedure relies on data in e-dictionaries of Serbian simple words, which are already well developed. We also offer an evaluation ...electronic dictionary, Serbian, morphology, inflection, multiwordn units, noun phrases, query expansionCvetana Krstev, Ranka Stanković, Ivan Obradović, Duško Vitas, Miloš Utvić. "Automatic construction of a morphological dictionary of multi-word units" in Lecture Notes in Computer Science 6233, Advances in Natural Language Processing, Proceedings of the 7thInternational Conference on NLP, IceTAL 2010, Reykjavik, Iceland, August 2010, Springer (2010): 226-237. https://doi.org/10.1007/978-3-642-14770-8_26
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On the compatibility of lexical resources for NooJ
Lexical resources for many languages are provided for the NooJ linguistic development environment. Meta-data descriptions of morphosyntactic and semantic properties of these languages and their resources are a mandatory part of each language module. In this paper we analyze how well the meta-data actually describe resources for a chosen subset of languages and to what extent are they compatible across languages to support multilingual processing. We show that there is place for improvement in both directions.Ranka Stanković, Miloš Utvić, Duško Vitas, Cvetana Krstev, Ivan Obradović. "On the compatibility of lexical resources for NooJ" in Automatic Processing of Various Levels of Linguistic Phenomena: Selected Papers from the 2011 International Nooj Conference, Cambridge Scholars Publishing (2012): 96-108
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Keyword-Based Search on Bilingual Digital Libraries
This paper outlines the main features of Biblisha, a tool that offers various possibilities of enhancing queries submitted to large collections of aligned parallel text residing in bilingual digital library. Biblishsa supports keyword queries as an intuitive way of specifying information needs. The keyword queries initiated, in Serbian or English, can be expanded, both semantically, morphologically and in other language, using different supporting monolingual and bilingual resources. Terminological and lexical resources are of various types, such as wordnets, electronic ...... Bilingual Digital Libraries Ranka Stanković, Cvetana Krstev, Duško Vitas, Nikola Vulović, Olivera Kitanović Дигитални репозиторијум Рударско-геолошког факултета Универзитета у Београду [ДР РГФ] Keyword-Based Search on Bilingual Digital Libraries | Ranka Stanković, Cvetana Krstev, Duško Vitas, Nikola ...Ranka Stanković, Cvetana Krstev, Duško Vitas, Nikola Vulović, Olivera Kitanović. "Keyword-Based Search on Bilingual Digital Libraries" in Semantic Keyword-Based Search on Structured Data Sources - Second COST Action IC1302 International KEYSTONE Conference, IKC 2016, Springer (2017). https://doi.org/10.1007/978-3-319-53640-8_10
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Geologic Information System of Serbia
Geologic information system of Serbia (GeolISS) represents repository for digital archiving, query, retrieving, analysis and geologic data visualization. The GeolISS is implemented through ESRI ArcGIS technology, and is designed to operate as a personal geodatabase (MS Jet 4.0 Engine) and SDE enterprise geodatabase in MS SQL Server. The objective of GeolISS implementation is integration of existing geologic archives, data from published maps at different scales, newly acquired field data, as well as Web publishing of geologic information. Physical implementation ...Branislav Blagojević, Branislav Trivić, Ranka Stanković, Nenad Banjac, Olivera Kitanović. "Geologic Information System of Serbia" in Proceedings of the 17th Meeting of the Association of European Geological Societies, 14.-18. september 2011., Beograd : Srpsko geološko društvo (2011)
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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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Evaluation of microbial diversity of the microbial mat from the extremely acidic Lake Robule (Bor, Serbia)
Srđan Stanković., Branka Vasiljević, Sanja Jeremić, Vladica Cvetković, Ivana Morić. "Evaluation of microbial diversity of the microbial mat from the extremely acidic Lake Robule (Bor, Serbia)" in Botanica Serbica 1 no. 41 (2017): 47-54
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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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Развој геолошког информационог система Републике Србије
Геолошки информациони систем Србије (ГеолИСС) је пројектован, првенствено, са намером ефикасног дигиталног архивирања геолошких и њима сродних података. У овом раду је приказана структура базе података као основа за развој геолошки конципираног ГИС-а. Нови, објектно орјентисани (О-О) начин моделирања омогућио је дефинисање самосталних типова објеката, хијерархијски повезаних кроз тополошке и друге релације, чиме је обезбеђена њихова медјусобна интеракција. Објектно оријентисано моделирање извршено је коришћењем унифицираног језика моделирања (UML) и CASE алата, кроз концептуални и логички ниво. Физички модел ће ...Бранислав Благојевић, Бранислав Тривић, Ненад Бањац, Ранка Станковић, Велизар Николић. "Развој геолошког информационог система Републике Србије" in 14. конгрес геолога Србије и Црне Горе са међународним учешћем, Нови Сад, 18-20. октобар 2005, Cpпско геолошко друштво и Caвeз геолошких друштава Србије и Црне Горе (2005)
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Towards Automatic Definition Extraction for Serbian
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 ...Ranka Stanković, Cvetana Krstev, Rada Stijović, Mirjana Gočanin, Mihailo Škorić. "Towards Automatic Definition Extraction for Serbian" in Proceedings of the XIX EURALEX Congress of the European Assocition for Lexicography: Lexicography for Inclusion (Volume 2). 7-9 September (virtual), Democritus University of Thrace (2021)
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Serbian NER&Beyond: The Archaic and the Modern Intertwinned
U ovom radu predstavljamo srpski književni korpus koji se razvija pod okriljem COST Akcije „Distant Reading for European Literary History” CA16204. Koristeći ovaj korpus romana napisanih pre više od jednog veka, razvili smo i učinili javno dostupnim Sistem za prepoznavanje imenovanih entiteta (NER) obučen da prepozna 7 različitih tipova imenovanih entiteta, sa konvolucionom neuronskom mrežom (CNN), koja ima F1 rezultat od ≈91% na test skupu podataka. Ovaj model je dalje ocenjen na posebnom skupu podataka za evaluaciju. Završavamo poređenje ...Branislava Šandrih Todorović, Cvetana Krstev, Ranka Stanković, Milica Ikonić Nešić. "Serbian NER&Beyond: The Archaic and the Modern Intertwinned" in Proceedings of the Conference Recent Advances in Natural Language Processing - Deep Learning for Natural Language Processing Methods and Applications, INCOMA Ltd. Shoumen, BULGARIA (2021). https://doi.org/10.26615/978-954-452-072-4_141
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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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CliRtheRoads: An Integrated Approach to Landslide Risk Management on Roads in Serbia
Biljana Abolmasov, Ranka Stanković, Miloš Marjanović, Nikola Vulović, Uroš Đurić . "CliRtheRoads: An Integrated Approach to Landslide Risk Management on Roads in Serbia" in Progress in Landslide Research and Technology, Springer Cham (2023). https://doi.org/https://doi.org/10.1007/978-3-031-44296-4_23
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Parallel Stylometric Document Embeddings with Deep Learning Based Language Models in Literary Authorship Attribution
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 ...Mihailo Škorić, Ranka Stanković, Milica Ikonić Nešić, Joanna Byszuk, Maciej Eder. "Parallel Stylometric Document Embeddings with Deep Learning Based Language Models in Literary Authorship Attribution" in Mathematics, MDPI AG (2022). https://doi.org/10.3390/math10050838