Претрага
150 items
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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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Formative evaluation of e-learning projects with the logical framework approach
Roberto Linzalone, Giovani Schiuma, Ivan Obradović, Ranka Stanković. "Formative evaluation of e-learning projects with the logical framework approach" in The Sixth International Conference on e-Learning (eLearning-2015), September 2015, Belgrade, Serbia, Belgrade Metropolitan Univesity (2015)
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Terminology Acquisition and Description Using Lexical Resources and Local Grammars
Acquisition of new terminology from specific domains and its adequate description within terminological dictionaries is a complex task, especially for languages that are morphologically complex such as Serbian. In this paper we present an approach to solving this task semi-automatically on basis of lexical resources and local grammars developed for Serbian. Special attention is given to automatic inflectional class prediction for simple adjectives and nouns and the use of syntactic graphs for extraction of Multi-Word Unit (MWU) candidates for ...Cvetana Krstev, Ranka Stanković, Ivan Obradović, Biljana Lazić. "Terminology Acquisition and Description Using Lexical Resources and Local Grammars" in Proceedings of the 11th Conference on Terminology and Artificial Intelligence, Granada, Spain, 2015, Granada : LexiCon (Universidad de Granada) (2015)
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A Lexical Approach to Acronyms and their Definitions
In this paper we present a comprehensive approach to acronyms for Natural-Language Processing (NLP) of Serbian texts. The proposed procedure includes extraction of acronyms and their definitions that are usual Multi-Word Units (MWUs), shallow parsing of MWUs that enables MWU lemmatization and production of entries in morphological electronic dictionaries, both for MWU and acronyms, that are provided with grammatical, syntactic, semantic and domain information. This approach enables representation that reflects complex relations between acronyms and their definitions.Cvetana Krstev, Duško Vitas, Ranka Stanković. "A Lexical Approach to Acronyms and their Definitions" in Proceedings of the 7th Language & Technology Conference, November 27-29, 2015, Poznań, Poland, Springer (2015)
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Implementacija upravljanja kvalitetom uglja na površinskim kopovima EPS RB Kolubara
Kolonja Božo, Ignjatović Dragan, Knežević Dinko, Stanković Ranka. "Implementacija upravljanja kvalitetom uglja na površinskim kopovima EPS RB Kolubara" in Rudarstvo 2015, Beograd:Energetika Rudarstvo Srbija Balkan (2015): 9
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WebGIS Cadastre of Abandoned Mines in Autonomous Province of Vojvodina
Ranka Stanković, Nikola Vulović, Nikola Lilić, Ivan Obradović, Radule Tošović, Milica Pešić-Georgiadis (2015)Ranka Stanković, Nikola Vulović, Nikola Lilić, Ivan Obradović, Radule Tošović, Milica Pešić-Georgiadis. "WebGIS Cadastre of Abandoned Mines in Autonomous Province of Vojvodina" 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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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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Coal homogenization stockyard sizing “Tamnava – Zapad” case study
Božo Kolonja, Dinko Knežević, Ranka Stanković, Dejan Stevanović, Detlef Trummer. "Coal homogenization stockyard sizing “Tamnava – Zapad” case study" in Proceedings of 13th International Symposium Continuous Surface Mining, ISCSM 2016, / (2016)
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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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A WordNet Ontology in Improving Searches of Digital Dialect Dictionary
In this paper, we present a method for automatic generation of a digital resource, which connects all indirect synonyms of a dialect term to all indirect synonyms of a corresponding term in the standard language, aiming to improve the search of a digital dialect dictionary. The method uses SWRL rules defined in the Serbian WordNet ontology to identify sets of synonymous words. It also uses e-dictionaries to produce correct lemmas in standard language that users usually employ in searches. ...Miljana Mladenović, Ranka Stanković, Cvetana Krstev. "A WordNet Ontology in Improving Searches of Digital Dialect Dictionary" in New Trends in Databases and Information Systems: ADBIS 2017 Short Papers and Workshops - SW4CH (Semantic Web for Cultural Heritage) 767, Springer International Publishing (2017). https://doi.org/10.1007/978-3-319-67162-8_37
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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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Rule-based Automatic Multi-word Term Extraction and Lemmatization
In this paper we present a rule-based method for multi-word term extraction that relies on extensive lexical resources in the form of electronic dictionaries and finite-state transducers for modelling various syntactic structures of multi-word terms. The same technology is used for lemmatization of extracted multi-word terms, which is unavoidable for highly inflected languages in order to pass extracted data to evaluators and subsequently to terminological e-dictionaries and databases. The approach is illustrated on a corpus of Serbian texts from ...Ranka Stanković, Cvetana Krstev, Ivan Obradović, Biljana Lazić, Aleksandra Trtovac. "Rule-based Automatic Multi-word Term Extraction and Lemmatization" in Proceedings of the 10th International Conference on Language Resources and Evaluation, LREC 2016, Portorož, Slovenia, 23--28 May 2016, European Language Resources Association (2016)
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Advantages and challenges in presenting mathematical content using EDX platform
Marija Radojičić, Ivan Obradović, Ranka Stanković, Olivera Kitanović, Roberto Linzalone. "Advantages and challenges in presenting mathematical content using EDX platform" in The Seventh International Conference on e-Learning (eLearning-2016), Belgrade : Metropolitan University (2016)
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Towards translation of educational resources using GIZA++
Ivan Obradović, Dalibor Vorkapić, Ranka Stanković, Nikola Vulović, Miladin Kotorčević. "Towards translation of educational resources using GIZA++" in The Seventh International Conference on e-Learning (eLearning-2016), September 2016, Belgrade : Metropolitan Univesity (2016)
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A business intelligence approach to mine safety management
Ljiljana Kolonja, Ranka Stanković, Ivan Obradović, Olivera Kitanović, Dejan Stevanović, Marija Radojičić (2016)Ljiljana Kolonja, Ranka Stanković, Ivan Obradović, Olivera Kitanović, Dejan Stevanović, Marija Radojičić . "A business intelligence approach to mine safety management" in 13th International Symposium Continuous Surface Mining, Beograd : Yugoslav Opencast Mining Committee (2016)
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Digitalni resursi za upravljanje kvalitetom uglja
Stanković Ranka, Kolonja Božo, Jovanović Mirjana, Kitanović Olivera, Stevanović Dejan. "Digitalni resursi za upravljanje kvalitetom uglja" in Međunarodni simpozijum Elektrane, Beograd:Društvo Termičara Srbije (2008): 67-75
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Project BEWARE—Landslide Post-disaster Relief Activities for Local Communities in Serbia
Biljana Abolmasov, Dobrica Damjanović, Miloš Marjanović, Ranka Stanković, Velizar Nikolić, Sandra Nedeljković, Žarko Petrović (2017)Biljana Abolmasov, Dobrica Damjanović, Miloš Marjanović, Ranka Stanković, Velizar Nikolić, Sandra Nedeljković, Žarko Petrović. "Project BEWARE—Landslide Post-disaster Relief Activities for Local Communities in Serbia" in Advancing Culture of Living with Landslides, Proceedings of 4th World Landslide Forum, Ljubljana 29 May-02 June 2017 3, Berlin : Springer Interantional (2017). https://doi.org/10.1007/978-3-319-53487-9_48
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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
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Using English Baits to Catch Serbian Multi-Word Terminology
In this paper we present the first results in bilingual terminology extraction. The hypothesis of our approach is that if for a source language domain terminology exists as well as a domain aligned corpus for a source and a target language, then it is possible to extract the terminology for a target language. Our approach relies on several resources and tools: aligned domain texts, domain terminology for a source language, a terminology extractor for a target language, and a ...aligned texts, word alignment, terminology extraction, electronic dictionaries, morphological inflectionCvetana Krstev, Branislava Šandrih, Ranka Stanković. "Using English Baits to Catch Serbian Multi-Word Terminology" in Proceedings of the 11th International Conference on Language Resources and Evaluation, LREC 2018, Miyazaki, Japan, May 7-12, 2018, European Language Resources Association (ELRA) (2018)
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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)