Претрага
2235 items
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An Approach to Development of Bilingual Lexical Resources
Stanković Ranka, Obradović Ivan, Trtovac Aleksandra. "An Approach to Development of Bilingual Lexical Resources" in Proceedings of the Fifth Balkan Conference in Informatics BCI 2012, Workshop on Computational Linguistics and Natural Language Processing of Balkan Languages – CLoBL 2012, September 2012, Novi Sad : BCI (2012) M33
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Wordnet Development Using a Multifunctional Tool
Ivan Obradović, Ranka Stanković (2007)In this paper we present a multifunctional tool for manipulating heterogeneous language resources. The tool handles electronic dictionaries, wordnets and aligned texts, and provides for their synchronous use in various tasks. We focus here on the description of the possibilities this tool offers in the development of wordnets. Besides the wordnet module which enables parallel handling of two wordnets, other modules, such as the module for morphological dictionaries and the module for aligned texts, as well as available finite ...Ivan Obradović, Ranka Stanković. "Wordnet Development Using a Multifunctional Tool" in Proceedings of the International Workshop Computer Aided Language Processing (CALP) '2007, Borovets, Bulgaria, September 2007, - (2007) М33
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A bilingual digital library for academic and entrepreneurial knowledge management
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 ...Ranka Stanković, Cvetana Krstev, Biljana Lazić, Dalibor Vorkapić. "A bilingual digital library for academic and entrepreneurial knowledge management" in Proceeding of 10th International Forum on Knowledge Asset Dynamics — IFKAD 2015: Culture, Innovation and Entrepreneurship: connecting the knowledge dots, Bari, Italy, 10-12 June 2015, Bari : IFKAD (2015) M33
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A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment
Sina Ahmadi, John P McCrae, Sanni Nimb, Fahad Khan, Monica Monachini, Bolette S Pedersen, Thierry Declerck, Tanja Wissik, Andrea Bellandi, Irene Pisani, [...] Ranka Stanković and others (2020)Aligning senses across resources and languages is a challenging task with beneficial applications in the field of natural language processing and electronic lexicography. In this paper, we describe our efforts in manually aligning monolingual dictionaries. The alignment is carried out at sense-level for various resources in 15 languages. Moreover, senses are annotated with possible semantic relationships such as broadness, narrowness, relatedness, and equivalence. In comparison to previous datasets for this task, this dataset covers a wide range of languages ...Sina Ahmadi, John P McCrae, Sanni Nimb, Fahad Khan, Monica Monachini, Bolette S Pedersen, Thierry Declerck, Tanja Wissik, Andrea Bellandi, Irene Pisani, [...] Ranka Stanković and others . "A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment" in Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), Marseille, European Language Resources Association (ELRA) (2020) М33
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Српски језик у дигиталном добу -- The Serbian Language in the Digital Age
Duško Vitas, Ljubomir Popović, Cvetana Krstev, Ivan Obradović, Gordana Pavlović-Lažetić, Mladen Stanojević (2012)Duško Vitas, Ljubomir Popović, Cvetana Krstev, Ivan Obradović, Gordana Pavlović-Lažetić, Mladen Stanojević. "Српски језик у дигиталном добу -- The Serbian Language in the Digital Age" in META-NET White Paper Series, G. Rehm, H. Uszkoreit (eds.), Springer (2012) M12
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Knowledge and Rule-Based Diacritic Restoration in Serbian
In this paper we present a procedure for the restoration of diacritics in Serbian texts written using the degraded Latin alphabet. The procedure relies on the comprehensive lexical resources for Serbian: the morphological electronic dictionaries, the Corpus of Contemporary Serbian and local grammars. Dictionaries are used to identify possible candidates for the restoration, while the dataobtainedfromSrpKorandlocalgrammarsassistsinmakingadecisionbetween several candidates in cases of ambiguity. The evaluation results reveal that,dependingonthetext,accuracyrangesfrom95.03%to99.36%,whilethe precision (average 98.93%) is always higher than the recall (average 94.94%).Cvetana Krstev, Ranka Stanković, Duško Vitas. "Knowledge and Rule-Based Diacritic Restoration in Serbian" 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): 41-51 M33
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Contrastive Analysis of Syntax Patterns in Comparable Football Corpora in Spanish and Serbian Languages
Jelena Lazarević, Olivera Kitanović (2024.)Cilj rada je istraživanje kolokabilnosti kao načina na koji se leksičke jedinice povezuju sa rečima iz različitih kategorija, formirajući veće jedinice. Istraživanje semantičkih i sintaksičkih principa ovih kombinacija u španskom i srpskom jeziku fudbala izvedeno je na komparabilnim fudbalskim korpusima SrFudKo i EsFudko, razvijenim u okviru doktorske disertacije Jelene Lazarević pod nazivom: Jezičke odlike diskursa novih medija o fudbalu: kontrastivna analiza na korpusu srpskog i španskog jezika. Korpus fudbala SrFudKo, kreiran na osnovu tekstova o fudbalu sa pet srpskih veb-portala: ...Jelena Lazarević, Olivera Kitanović . "Contrastive Analysis of Syntax Patterns in Comparable Football Corpora in Spanish and Serbian Languages" in South Slavic Languages in the Digital Environment JuDig Book of Abstracts, University of Belgrade - Faculty of Philology, Serbia, November 21-23, 2024, University of Belgrade - Faculty of Philology (2024.) М64
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Managing mining project documentation using human language technology
Purpose: This paper aims to develop a system, which would enable efficient management and exploitation of documentation in electronic form, related to mining projects, with information retrieval and information extraction (IE) features, using various language resources and natural language processing. Design/methodology/approach: The system is designed to integrate textual, lexical, semantic and terminological resources, enabling advanced document search and extraction of information. These resources are integrated with a set of Web services and applications, for different user profiles and use-cases. Findings: The ...Digital libraries, Information retrieval, Data mining, Human language technologies, Project documentationAleksandra Tomašević, Ranka Stanković, Miloš Utvić, Ivan Obradović, Božo Kolonja . "Managing mining project documentation using human language technology" in The Electronic Library (2018). https://doi.org/10.1108/EL-11-2017-0239 М23
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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) M33
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From ELTeC Text Collection Metadata and Named Entities to Linked-data (and Back)
In this paper we present the wikification of the ELTeC (European Literary Text Collection), developed within the COST Action ``Distant Reading for European Literary History'' (CA16204). ELTeC is a multilingual corpus of novels written in the time period 1840—1920, built to apply distant reading methods and tools to explore the European literary history. We present the pipeline that led to the production of the linked dataset, the novels’ metadata retrieval and named entity recognition, transformation, mapping and Wikidata population, ...Milica Ikonić Nešić, Ranka Stanković, Christof Schöch and Mihailo Škorić. "From ELTeC Text Collection Metadata and Named Entities to Linked-data (and Back)" in Proceedings of The 8th Workshop on Linked Data in Linguistics within the 13th Language Resources and Evaluation Conference, June 2022, Marseille, France, European Language Resources Association (2022) М33
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Creation of a Training Dataset for Question-Answering Models in Serbian
Razvoj i primena veštačke inteligencije u jezičkim tehnologijama značajno su napredovali poslednjih godina, posebno u domenu zadatka odgovaranja na pitanja (Question Answering - QA). Dok su postojeći resursi za QA zadatke razvijeni za glavne svetske jezike, srpski jezik je relativno zanemaren u ovoj oblasti. Ovaj rad predstavlja inicijativu za kreiranje obimnog i raznovrsnog skupa podataka za obučavanje modela za odgovaranje na pitanja na srpskom jeziku, koji će doprineti unapređenju jezičkih tehnologija za srpski jezik. Pored brojnih istraživanja o jezičkim modelima ...veštačka inteligencija, obrada prirodnog jezika, jezički resursi, anotirani skupovi, ekstrakcija informacija, odgovaranje na pitanjaRanka Stanković, Jovana Rađenović, Maja Ristić, Dragan Stankov. "Creation of a Training Dataset for Question-Answering Models in Serbian" in South Slavic Languages in the Digital Environment JuDig Book of Abstracts, University of Belgrade - Faculty of Philology, Serbia, November 21-23, 2024, University of Belgrade - Faculty of Philology (2024) М64
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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) M33
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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 М53
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Topic Modeling of the SrpELTeC Corpus: A Comparison of NMF, LDA, and BERTopic
Modeliranje tema je efikasan način da se dobije uvid u velike količine podataka. Neki od najčešće korišćenih metoda za modeliranje tema su Latentna Dirihleova alokacija (LDA) i faktorizacija nenegativne matrice (NMF). Međutim, sa porastom modela samopažnje i unapred obučenih jezičkih modela, pojavili su se novi načini za ekstrakcju tema. BERTopic predstavlja novi pristup modeliranju tema. U ovom radu smo uporedili performanse LDA, NMF i BERTopic na književnim tekstovima na srpskom, merenjem koherentnosti tema i raznovrsnosti tema, kao i kvalitativnom ...Teodora Mihajlov, Milica Ikonić Nešić, Ranka Stanković, Olivera Kitanović. "Topic Modeling of the SrpELTeC Corpus: A Comparison of NMF, LDA, and BERTopic" in Annals of Computer Science and Information Systems, IEEE (2024). https://doi.org/10.15439/2024F1593 М33
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New Language Models for South Slavic Languages
Mihailo Škorić (2024)Izlaganje će predstaviti izazove i perspektive modelovanja južnoslovenskih jezika, sa posebnim osvrtom opšte jezičke modele građene na arhitekturi transformera (BERT, GPT), na dostupne skupove tekstova za obučavanje tih modela, te kvantitet i kvalitet tih skupova. Izlaganje će ponuditi pregled dostupnih skupova i modela, dok će posebna pažnja biti posvećena najnovijim korpusima tekstova. Prvi korpus, Kišobran, predstavlja krovni veb korpus južnoslovenskih jezika i ujedno trenutno najveći korpus tekstova na našim prostorima koji broji preko osamnaest milijardi reči i uključuje sve ...Mihailo Škorić. "New Language Models for South Slavic Languages" in South Slavic Languages in the Digital Environment JuDig Book of Abstracts, University of Belgrade - Faculty of Philology, Serbia, November 21-23, 2024, University of Belgrade - Faculty of Philology (2024) М64
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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) M33
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A Twitter Corpus and Lexicon for Abusive Speech Detection in Serbian
Uvredljivi govor na društvenim medijima, uključujući psovke, pogrdni govor i govor mržnje, dostigao je nivo pandemije. Sistem koji bi bio u stanju da detektuje takve tekstove mogao bi da pomogne da internet i društveni mediji postanu bolji virtuelni prostor sa više poštovanja. Istraživanja i komercijalna primena u ovoj oblasti do sada su bili fokusirani uglavnom na engleski jezik. Ovaj rad predstavlja rad na izgradnji AbCoSER-a, prvog korpusa uvredljivog govora na srpskom jeziku. Korpus se sastoji od 6.436 ručno označenih ...Danka Jokić, Ranka Stanković, Cvetana Krstev, Branislava Šandrih. "A Twitter Corpus and Lexicon for Abusive Speech Detection in Serbian" in 3rd Conference on Language, Data and Knowledge (LDK 2021), MDPI AG (2021). https://doi.org/10.4230/OASIcs.LDK.2021.13 М33
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Повезивање лексема морфолошких речника коришћењем базе Лексимирка
Рад приказује приступ успостављању повезивања лексема у Морфолошким речницима српског језика. Повезивање, тј. успостављање релација не би било могуће без претходне конверзије речника из облика текстуалних датотека у облик лексичке базе података назване Лексимирка. Методологија за успостављање релација почива на 69 појединачних релација заснованих на 388 правила. Правила за повезивање се дефинишу на основу обележја лексичких записа (врсте речи, маркера, граматичких категорија и подниски). Успостављене релације су крајњем кориснику видљиве путем апликације Лексимирка у форми хипервеза и могу се ...Биљана Рујевић, Ранка Станковић, Михаило Шкорић. "Повезивање лексема морфолошких речника коришћењем базе Лексимирка" in Модерни речници у функцији просечнога корисника: стари проблеми, савремени правци и нови изазови, Лексикографски сусрети, Београд, 27-29. мај 2024. , Београд : Филолошки факултет (2024). https://doi.org/10.18485/lexicog_meet.2024.1.ch23 М33
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Knowledge Graphs in the Era of Large Language Models: Opportunities and Challenges
Pojava velikih jezičkih modela (eng. Large Language Models ili LLMs) je značajno uticala na oblast veštačke inteligencije, naročito u oblastima obrade prirodnog jezika i generisanju teksta. Međutim, ključno ograničenje ovih modela leži u nedostatku strukturiranog znanja i sposobnosti zaključivanja, što otežava njihovu primenu u stvarnom svetu, gde se zahteva tačnost iznetih činjenica i zaključivanje na osnovu konteksta. S druge strane, grafovi znanja nude primamljivo rešenje. Oni pružaju bogat izvor strukturiranog znanja, tako što predstavljaju entitete i njihove relacije u ...grafovi znanja, veliki jezički modeli, obrada prirodnog jezika, strukturirano znanje, kvalitet podataka, objašnjiva veštačka inteligencija, bezbednost sadržaja na internetuDanka Jokić, Ranka Stanković, Jelena Jaćimović. "Knowledge Graphs in the Era of Large Language Models: Opportunities and Challenges" in South Slavic Languages in the Digital Environment JuDig Book of Abstracts, University of Belgrade - Faculty of Philology, Serbia, November 21-23, 2024., University of Belgrade - Faculty of Philology (2024) М64
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Terminological and lexical resources used to provide open multilingual educational resources
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 ...Biljana Lazić, Danica Seničić, Aleksandra Tomašević, Bojan Zlatić. "Terminological and lexical resources used to provide open multilingual educational resources" in The Seventh International Conference on eLearning (eLearning-2016), 29-30 September 2016, Belgrade, Serbia, Belgrade : Belgrade Metropolitan University (2016) М33