Претрага
286 items
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Geoportal istražnih radova ugljenih basena Srbije
Tomašević Aleksandra, Kolonja Božo, Stevanović Dejan, Knežević Dinko, Ignjatović Dragan, Kolonja Ljiljana, Pešić Georgiadis Milica, Lilić Nikola, Stanković Ranka (2015)Tomašević Aleksandra, Kolonja Božo, Stevanović Dejan, Knežević Dinko, Ignjatović Dragan, Kolonja Ljiljana, Pešić Georgiadis Milica, Lilić Nikola, Stanković Ranka. "Geoportal istražnih radova ugljenih basena Srbije" in 99039 (2015)
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Bridging Computational Lexicography and Corpus Linguistics: A Query Extension for OntoLex-FrAC
OntoLex, dominantni standard zajednice za mašinski čitljive leksičke resurse u kontekstu RDF-a, Linked Data i tehnologija Semantičkog veba, trenutno se proširuje sa posebnim modulom za Frekvencije, Primere i Informacije zasnovane na Korpusu (OntoLex-FrAC). Predlažemo novi komponent za OntoLex-FrAC, koji se bavi inkorporacijom korpusnih upita za (a) povezivanje rečnika sa korpusnim mašinama, (b) omogućavanje RDF baziranih web servisa da dinamički razmenjuju korpusne upite i podatke odgovora, i (c) korišćenje konvencionalnih upitačkih jezika za formalizaciju unutrašnje strukture kolokacija, skica reči i ...standardizacija, digitalna leksikografija, OntoLex, upiti korpusa, povezani podaci, Lingvistički povezani otvoreni podaciChristian Chiarcos, Ranka Stanković, Maxim Ionov, Gilles Sérasset. "Bridging Computational Lexicography and Corpus Linguistics: A Query Extension for OntoLex-FrAC" in Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Turin, 20-25 May 2024, LREC (2024)
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SrpCNNeL: Serbian Model for Named Entity Linking
Ovaj rad predstavlja razvoj modela za prepoznavanje i povezivanje imenovanih entiteta (NEL) sa bazom znanja Vikipodaci za srpski jezik pod nazivom SrpCNNeL. Model je obučen da prepozna i poveže sedam različitih imenovanih tipova entiteta (osobe, lokacije, organizacije, profesije, događaji, demoni i umetnička dela) na skupu podataka koji sadrži rečenice iz romana, pravnih dokumenata, kao i rečenice generisane iz znanja Vikipodataka baza i Leksimirka leksička baza podataka. Dobijeni model je pokazao dobre performanse, postigavši F1 rezultat od 0,8 na test ...Milica Ikonić Nešić, Saša Petalinkar, Ranka Stanković, Miloš Utvić, Olivera Kitanović. "SrpCNNeL: Serbian Model for Named Entity Linking" in Annals of Computer Science and Information Systems, IEEE (2024). https://doi.org/10.15439/2024F8827
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Increasing the Local Road Network Resilience from Natural Hazards in Municipalities in Serbia
Biljana Abolmasov, Miloš Marjanović, Ranka Stanković, Uroš Đurić, Nikola Vulović. "Increasing the Local Road Network Resilience from Natural Hazards in Municipalities in Serbia" in Progress in Landslide Research and Technology, Volume 3, Issue 1, Springer Cham. (2024). https://doi.org/https://doi.org/10.1007/978-3-031-55120-8_22
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Primena AHP и WoEmetode u proceni podložnosti terena na kliženje za područje opštine Krupanj
Biljana Abolmasov, Jelka Krušić, Katarina Andrejev, Miloš Marjanović, Ranka Stanković, Uroš Đurić (2017)Biljana Abolmasov, Jelka Krušić, Katarina Andrejev, Miloš Marjanović, Ranka Stanković, Uroš Đurić . "Primena AHP и WoEmetode u proceni podložnosti terena na kliženje za područje opštine Krupanj" in Izgradnja, Beograd : Udruženje inženjera građevinarstva, geotehnike, arhitekture i urbanista Izgradnja (2017): 239-246
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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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Production of morphological dictionaries of multi-word units using a multipurpose tool
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, multi-word units, noun phrases, query expansionRanka Stanković, Ivan Obradović, Cvetana Krstev, Duško Vitas. "Production of morphological dictionaries of multi-word units using a multipurpose tool" in Proceedings of the Computational Linguistics-Applications Conference, October 2011, Jachranka, Poland, Jachranka, Poland : PTI - Polish Information Processing Society (2011)
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Multi-word Expressions for Abusive Speech Detection in Serbian
Ovaj rad predstavlja istraživanja na usavršavanju i unapređenju srpske verzije rečnika Hurtlex, višejezičnog leksikona uvredljivih reči. Posebnu pažnju posvećujemo dodavanju izraza sa više reči (polileksemskih jedinica) koji se mogu smatrati uvredljivim, jer su takvi leksički zapisi veoma važni za postizanje dobrih rezultata u mnoštvu zadataka otkrivanja uvredljivog jezika. Srpski morfološki rečnici se koriste kao osnova za čišćenje podataka i stvaranje rečnika. Istaknuta je veza sa drugim leksičkim i semantičkim resursima na srpskom jeziku i predviđena je izgradnja sistema za ...Ranka Stanković, Jelena Mitrović, Danka Jokić, Cvetana Krstev. "Multi-word Expressions for Abusive Speech Detection in Serbian" in Proceedings of the Joint Workshop on Multiword Expressions and Electronic Lexicons, Association for Computational Linguistics (2020)
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Resource-based WordNet Augmentation and Enrichment
In this paper we present an approach to support production of synsets for SerbianWordNet(SerWN)byadjustingPrincetonWordNet(PWN)synsetsusing several bilingual English-Serbian resources. PWN synset definitions were automatically translated and post-edited, if needed, while candidate literals for Serbian synsets were obtained automatically from a list of translational equivalents compiled form bilingual resources. Preliminary results obtained from a setof1248selectedPWNsynsetsshowthattheproducedSerbiansynsetscontain 4024 literals, out of which 2278 were offered by the system we present in this paper, whereas experts added the remaining 1746. Approximately one half of ...Ranka Stanković, Miljana Mladenović, Ivan Obradović, Marko Vitas, Cvetana Krstev. "Resource-based WordNet Augmentation and Enrichment" in Proceedings of the Third International Conference Computational Linguistics in Bulgaria (CLIB 2018), May 27-29, 2018, Sofia, Bulgaria, Sofia : The Institute for Bulgarian Language Prof. Lyubomir Andreychin, Bulgarian Academy of Sciences (2018)
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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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Electronic Dictionaries - from File System to lemon Based Lexical Database
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 ...Ranka Stanković, Cvetana Krstev, Biljana Lazić, Mihailo Škorić. "Electronic Dictionaries - from File System to lemon Based Lexical Database" in Proceedings of the 11th International Conference on Language Resources and Evaluation - W23 6th Workshop on Linked Data in Linguistics : Towards Linguistic Data Science (LDL-2018), LREC 2018, Miyazaki, Japan, May 7-12, 2018, European Language Resources Association (ELRA) (2018)
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Using Lexical Resources for Irony and Sarcasm Classification
The paper presents a language dependent model for classification of statements into ironic and non-ironic. The model uses various language resources: morphological dictionaries, sentiment lexicon, lexicon of markers and a WordNet based ontology. This approach uses various features: antonymous pairs obtained using the reasoning rules over the Serbian WordNet ontology (R), antonymous pairs in which one member has positive sentiment polarity (PPR), polarity of positive sentiment words (PSP), ordered sequence of sentiment tags (OSA), Part-of-Speech tags of words (POS) ...Miljana Mladenović, Cvetana Krstev, Jelena Mitrović, Ranka Stanković. "Using Lexical Resources for Irony and Sarcasm Classification" in Proceedings of the 8th Balkan Conference in Informatics (BCI '17), New York, NY, USA, : ACM (2017). https://doi.org/
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FrameNet Lexical Database: Presenting a Few Frames Within the Risk Domain
U radu se daje kratak prikaz teorije semantike okvira, na kojoj je zasnovana leksička baza Frejmnet. Predstavljena je koncepcija ove mreže, kao i mogućnosti njene primene. Predstavljena je i leksička analiza koja se primenjuje u projektu izrade Frejmneta i ukazano na razlike između analize zasnovane na okviru u odnosu na analizu zasnovanu na reči. Zatim je prikazano nekoliko povezanih okvira koje prizivaju reči iz domena rizika. U radu je predstavljena i platforma NLTК pomoću koje se mogu koristiti ...Aleksandra Marković, Ranka Stanković, Natalija Tomić, Olivera Kitanović. "FrameNet Lexical Database: Presenting a Few Frames Within the Risk Domain" in Infotheca, Faculty of Philology, University of Belgrade (2021). https://doi.org/10.18485/infotheca.2021.21.1.1
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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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Improving Document Retrieval in Large Domain Specific Textual Databases Using Lexical Resources
Large collections of textual documents represent an example of big data that requires the solution of three basic problems: the representation of documents, the representation of information needs and the matching of the two representations. This paper outlines the introduction of document indexing as a possible solution to document representation. Documents within a large textual database developed for geological projects in the Republic of Serbia for many years were indexed using methods developed within digital humanities: bag-of-words and named ...Ranka Stanković, Cvetana Krstev, Ivan Obradović, Olivera Kitanović. "Improving Document Retrieval in Large Domain Specific Textual Databases Using Lexical Resources" in Trans. Computational Collective Intelligence - Lecture Notes in Computer Science 26, Springer (2017). https://doi.org/10.1007/978-3-319-59268-8_8
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An Approach to Efficient Processing of Multi-Word Units
Efficient processing of Multi-Word Units in the course of development of morphological MWU dictionaries is not easy to achieve, especially when languages with complex morphological structures are concerned, such as Serbian. Manual development of this type of dictionaries is a tedious and extremely slow process. To alleviate this problem we turned to our multipurpose software tool, dubbed LeXimir, in the production of lemmas for e-dictionaries of multi-word units. In addition to that, we developed a procedure aimed at making ...Cvetana Krstev, Ivan Obradović, Ranka Stanković, Duško Vitas. "An Approach to Efficient Processing of Multi-Word Units" in Computational Linguistics - Applications, Studies in Computational Intelligence 458 no. 458, Berlin Heidelberg : Springer-Verlag (2013): 109-129. https://doi.org/10.1007/978-3-642-34399-5_6
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Using Metadata For Content Indexing Within An OER Network
Ranka Stanković, Olivera Kitanović, Ivan Obradović, Roberto Linzalone, Giovanni Schiuma, Daniela Carlucci (2014)Ranka Stanković, Olivera Kitanović, Ivan Obradović, Roberto Linzalone, Giovanni Schiuma, Daniela Carlucci. "Using Metadata For Content Indexing Within An OER Network" in Proceedings of the Fifth International Conference on e-Learning, eLearning 2014, September 2014, Belgrade, Serbia, Belgrade : Belgrade Metropolitan University (2014)
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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)... Kaplar, Ranka Stanković, Ivan Obradović, Jan Mačutek Дигитални репозиторијум Рударско-геолошког факултета Универзитета у Београду [ДР РГФ] Quantitative analysis of syllable properties in Croatian, Serbian, Russian, and Ukrainian | Biljana Rujević, Marija Kaplar, Sebastijan Kaplar, Ranka Stanković ...
... linguistics 3 (Studies in Quantitative Linguistics 13), 224–281. Lüdenscheid: RAM-Verlag. Radojičić, Marija, Biljana Lazić, Sebastijan Kaplar, Ranka Stanković, Ivan Obradović, Ján Mačutek & Lívia Leššová. 2019. Frequency and length of syllables in Serbian. Glottometrics 45. 114–123. Roberts, Aaron ...
... Quantitative analysis of syllable properties in Croatian, Serbian, Russian, and Ukrainian Biljana Rujević1, Marija Kaplar2, Sebastijan Kaplar2, Ranka Stanković1, Ivan Obradović1 and Ján Mačutek3,4 1University of Belgrade / 2University of Novi Sad / 3Mathematical Institute of Slovak Academy of Sciences ...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
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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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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 In Proceedings of the Sixth International Conference on Computational Linguistics in Bulgaria (CLIB 2024), BAS (2024)