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Упит dcterms_subject_txt:geothermal resources

456 items

  • Directions of future geological explorations of mineral resources in Serbia

    Jelenković Rade, Simić Vladimir, Kostić Aleksandar, Životić Dragana, Tošović Radule (2016)

  • Natural aggregate resources in Serbia – an overview

    Simić Vladimir, Živanović Jelena, Životić Dragana, Beljić Čedomir (2010)

  • Energy Resources in the Republic of Serbia: Development Policy

    Jovančić Predrag, Kolonja Božo, Ignjatović Dragan, Tanasijević Miloš, Madžarević Aleksandar, Krstić Vojislav (2014)

  • Application of the DPSIR approach to identify pressures on water resources in the Drina river basin

    Milica Stepanović, Dragoljub Bajić, Momčilo Blagojević, Sanja Bajić (2023)

  • Machine Learning and Deep Neural Network-Based Lemmatization and Morphosyntactic Tagging for Serbian

    Ranka Stanković, Branislava Šandrih, Cvetana Krstev, Miloš Utvić, Mihailo Škorić (2020)
    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 ...
    Part-of-Speech tagging, lemmatization, corpus, evaluation, Serbian, morphological dictionary
    ... Repository is available at: www.dr.rgf.bg.ac.rs Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), pages 3954–3962 Marseille, 11–16 May 2020 c© European Language Resources Association (ELRA), licensed under CC-BY-NC 3954 Machine Learning and Deep Neural Network-Based ...
    ... Serbian (Utvić, 2011), and discussed in Section 4. The paper ends with concluding remarks and an outline of future work in Section 5. 2. Resources The main resources used for the production of the new tag- ger model for Serbian are: (a) Serbian morphological dic- tionaries (Cvetana Krstev, Duško Vitas ...
    ... for central and eastern european languages. Lan- guage resources and evaluation, 46(1):131–142. Gavrilidou, M., Labropoulou, P., Piperidis, S., Giouli, V., Calzolari, N., Monachini, M., Soria, C., and Choukri, K. (2006). Language resources production models: the case of the intera multilingual corpus ...

  • Electronic Dictionaries - from File System to lemon Based Lexical Database

    Ranka Stanković, Cvetana Krstev, Biljana Lazić, Mihailo Škorić (2018)
    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 ...
    ... Seventh confer- ence on International Language Resources and Evalu- ation (LREC’10), Valletta, Malta, may. European Lan- guage Resources Association (ELRA). Maks, I., Tiberius, C., and van Veenendaal, R. (2008). Standardising Bilingual Lexical Resources According to the Lexicon Markup Framework. In ...
    ... et al., 2011) etc. The lemon model was implemented in sev- eral well-known and widely used resources (BabelNet, DB- pedia, WordNet), proving that it can be useful in bringing complementary lexical resources together within a single framework. 2. Related work In order to develop a concrete and general ...
    ... et al., 2011)). The lemon approach has been successfully used for com- prehensive NLP resources (Bosque-Gil et al., 2016, Vil- legas and Bel, 2015). The lemon model was also imple- mented in well-known resources such as BabelNet and DB- pedia. A paper dealing with WordNet conversion to lemon model ...

  • Bridging Computational Lexicography and Corpus Linguistics: A Query Extension for OntoLex-FrAC

    Christian Chiarcos, Ranka Stanković, Maxim Ionov, Gilles Sérasset (2024)
    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 podaci

  • Non-metallic resources as a significant additional coal open pits income, (possible $ scenario), kolubara coal mines, Serbia

    Vučkovic Bogoljub, Nesic Duško, Bogdanović Vesna, Draško Zoran, Klemčić Goran (2010)

  • Sustainable use of groundwater resources in terms of increasing the capacity of two interconnected groudwater sources: a case study Bečej (Serbia)

    Polomčić Dušan, Đekić Milan, Milosavljević Zoran, Popović Zorica, Milaković Miroslav, Ristić-Vakanjac Vesna, Krunić Olivera (2011)

  • Terminology Acquisition and Description Using Lexical Resources and Local Grammars

    Cvetana Krstev, Ranka Stanković, Ivan Obradović, Biljana Lazić (2015)
    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 ...
    ... Description Using Lexical Resources and Local Grammars Cvetana Krstev, Ranka Stanković, Ivan Obradović, Biljana Lazić Дигитални репозиторијум Рударско-геолошког факултета Универзитета у Београду [ДР РГФ] Terminology Acquisition and Description Using Lexical Resources and Local Grammars | Cvetana ...
    ... terms and integrating them with other resources for linguistic text processing; 5.3. Linguistic pre-processing with expanded dictionaries for verification of recognition of new MWU lemmas. Figure 1: Diagram of terminology acquisition using lexical resources and local grammars The newly acquired ...
    ... terms in dif- ferent domains, primarily the number of compo- nents they consist of, we used samples from three terminological resources for Serbian. Two terminological resources, GeolISSTerm 2 and RudOnto3 have been developed at University of Belgrade, Faculty of Mining and Geology. GeolISSTerm is ...

  • Adaptation and migration measures for sustainable use of karst groundwater as a response on climate change - Eastern Serbia case example

    Stevanović Zoran, Dokmanović Petar, Milanović Saša, Ristić-Vakanjac Vesna, Polomčić Dušan, Vasić Ljiljana (2013)

  • Need to Improve the Natural Aggregate Resources Supply in the City of Belgrade (Serbia)

    Simić Vladimir, Abramović Filip, Andrić Nevena, Delić Ivana, Miladinović Zoran, Životić Dragana (2016)

  • Transboundary groundwater resources of Serbia - present status and future needs for sustainable management

    Veljko Marinović, Branislav Petrović, Zoran Stevanović (2021)
    Republic of Serbia is located at the crossroads of Southeast and Central Europe and belongs to the Central Balkans. With its 88,360 km2, Serbia is one of the larger countries of the Balkan Peninsula. It borders 8 countries and has at least one transboundary aquifer (TBA) with each of them. According to evaluation conducted for UNECE in 2008, Serbia has a total of 17 TBAs, out of which 15 are shared with one neighboring country, while two aquifers are shared with two or three ...
    međugranične izdani, Srbija, monitoring podzemnih voda, upravljanje podzemnim vodama

  • Bilingual lexical extraction based on word alignment for improving corpus search

    Jelena Andonovski, Branislava Šandrih, Olivera Kitanović (2019)
    Library and Information Sciences,Computer Science Applications

  • Multi-word Expressions for Abusive Speech Detection in Serbian

    Ranka Stanković, Jelena Mitrović, Danka Jokić, Cvetana Krstev (2020)
    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 ...
    uvredljiv govor, govor mržnje, leksički izvori, višejezični leksikon, izrazi sa više reči
    ... approaches for developing this type of resources in Subsection 2.1. One of the existing, This work is licensed under a Creative Commons Attribution 4.0 International Licence. Licence details: http:// creativecommons.org/licenses/by/4.0/. 75 publicly available resources, Hurtlex, that we base our work ...
    ... 78% in 76 10-fold cross-validation on the binary classifier. 2.1 Resources for offensive and hate speech When developing a lexicon of hateful, offensive or abusive words, researches usually start from the existing resources: (i) subjectivity lexicons, since it is assumed that hate speech contains ...
    ... , 2020; Basile et al., 2019; Caselli et al., 2020). When it comes to Serbian abusive language resources and detection, the lexicon that we are working on is the first one of its kind. Still, some resources that will facilitate abusive language detection already exist. Serbian Morphological Dictionaries ...

  • A WebGIS Decision Support System for Management of Abandoned Mines

    Ranka Stanković, Nikola Vulović, Nikola Lilić, Ivan Obradović, Radule Tošović, Milica Pešić-Georgiadis (2016)
    ... which is particularly important for Vojvodina, as an agricultural region; and (d) water resources, both surface water and groundwater in the wider area, including hydrogeological and hydro geothermal resources. From the standpoint of environmental management, two distinct groups of abandoned mines ...
    ... management of mineral resources (which is part of the broader management of natural resources), environmental management and management within state bodies. The modern concept of management of mineral resources in Serbia includes comprehensive registration and monitoring of mineral resources at various stages ...
    ... geology three specific phases can be observed related to the exploitation process, namely: (a) mineral resources before exploitation; (b) mineral resources during exploitation; and (c) mineral resources after exploitation. The issue of abandoned mines belongs to the third phase, characterized by specific ...

  • Indexing of textual databases based on lexical resources: A case study for Serbian

    Ranka Stanković, Cvetana Krstev, Ivan Obradović, Olivera Kitanović (2015)
    In this paper we describe an approach to improvement of information retrieval results for large textual databases by pre-indexing documents using bag-of-words and Named Entity Recognition. The approach was applied on a database of geological projects financed by the Republic of Serbia in the last half century. Each document within this database is described by metadata, consisting of several fields such as title, domain, keywords, abstract, geographical location and the like. A bag of words was produced from these ...
    ... morphological electronic dictionaries and finite state transducers for Serbian [6]. 4.1 Used Resources Lexical Resources. The resources for natural language processing of Serbian consisting of lexical resources and local grammars are being developed using the finite-state methodology as described in [1] ...
    ... databases based on lexical resources: A case study for Serbian Ranka Stanković, Cvetana Krstev, Ivan Obradović, Olivera Kitanović Дигитални репозиторијум Рударско-геолошког факултета Универзитета у Београду [ДР РГФ] Indexing of textual databases based on lexical resources: A case study for Serbian ...
    ... as well as the employees' publications. - The Repository is available at: www.dr.rgf.bg.ac.rs Indexing of textual databases based on lexical resources: A case study for Serbian Ranka Stanković1, Cvetana Krstev2, Ivan Obradović1, and Olivera Kitanović1 1 University of Belgrade, Faculty of Mining ...

  • Part of Speech Tagging for Serbian language using Natural Language Toolkit

    Ranka Stanković, Boro Milovanović (2020)
    Dok se razvijaju složeni algoritmi za NLP (obrada prirodnog jezika), osnovni zadaci kao što je označavanje ostaju veoma važni i još uvek izazovni. NLTK (Natural Language Toolkit) je moćna Python biblioteka za razvoj programa zasnovanih na NLP-u. Pokušavamo da iskoristimo ovu biblioteku za kreiranje PoS (vrsta reči) oznake za savremeni srpski jezik. Jedanaest različitih modela je kreirano korišćenjem NLTK API-ja za označavanje. Najbolji modeli se transformišu sa Brill tagerom da bi se poboljšala tačnost. Obučili smo modele na označenom ...
    obrada prirodnog jezika, mašinsko učenje, neuronske mreže
    ... will be shown in Section 4 and briefly discussed in Section 5. We will conclude with Section 6. II. RESOURCES An automated tagger is created by training on an annotated dataset. These resources are extremely valuable because they are expensive to produce. Dataset used in this paper is composed ...
    ... Giouli, N. Calzolari, M. Monachini, C. Soria, and K. Choukri, “Language Resources Production Models: the Case of the INTERA Multilingual Corpus and Terminology,” Proc. Fifth International Conference on Language Resources and Evaluation (LREC’06), Genoa, Italy, May 2006 [11] D. l. Tufis, S. Koeva ...
    ... create a tagger for Serbian with a help of a Python library NLTK (Natural Language Toolkit). Besides just exposing more than 50 corpora and lexical resources, NLTK is used for making programs that handle human language data, ranging from tokenization to semantic reasoning. NLTK API makes it possible ...

  • Extraction of Bilingual Terminology Using Graphs, Dictionaries and GIZA++

    Branislava Šandrih, Ranka Stanković (2020)
    U nauci, industriji i mnogim istraživačkim oblastima, terminologija se brzo razvija. Najčešće, jezik koji je „lingua franca“ za većinu ovih oblasti je engleski. Kao posledica toga, za mnoga polja termini domena su koncipirani na engleskom, a kasnije se prevode na druge jezike. U ovom radu predstavljamo pristup za automatsko izdvajanje dvojezične terminologije za englesko-srpski jezički par koji se oslanja na usaglašeni dvojezični korpus domena, ekstraktor terminologije za ciljni jezik i alat za usklađivanje delova. Ispitujemo performanse metode na domenu ...
    ekstrakcija terminologije, validacija terminologije, GIZA++, grafovi, Unitex, klasifikacija teksta
    ... 2018). 122 Infotheca Vol. 19, No. 2, December 2019 Scientific paper 3 Lexical Resources and Tools As previously mentioned in Section 1, the approach proposed in (Krstev et al., 2018) relies on several lexical resources and tools: i A sentence-aligned domain-specific corpus involving a source and a ...
    ... l Conference on Language Resources and Evaluation (LREC 2012), Calzolari, Nicoletta, Khalid Choukri, Thierry Declerck, Mehmet Uğur Doğan, Bente Maegaard et 134 Infotheca Vol. 19, No. 2, December 2019 Scientific paper al.. Istanbul, Turkey: European Language Resources Association (ELRA), 2012 ...
    ... the Eleventh International Conference on Lan- guage Resources and Evaluation (LREC 2018), chair), Nicoletta Calzo- lari (Conference, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi et al., 7–12. Paris, France: European Language Resources Association (ELRA), 2018. http://www.lrec-conf.or ...

  • An aproach to Implementation of blended learning in a university setting

    Ivan Obradović, Ranka Stanković, Olivera Kitanović, Jelena Prodanović (2011)
    ... dictionaries are not proper lexical resources, since the current format implemented in Moodle is not very flexible. However, we plan to work on this issue and enable the use of lexical resources and ontologies in Moodle, as multilingual language resources and ontologies are gradually becoming ...
    ... his/her own results. Moodle is a flexible and modular tool, allowing various types of resources to be uploaded and activities to be defined. In the case of blended learning instruction, the resources usually include classroom material, such as lecture notes or exercises, but also all sorts ...
    ... development of an ontology related to mining is underway, we now plan to connect both resources and introduce them in our blended learning approach by developing a Moodle module which would use these resources for annotation of educational content. 5. CONCLUSION The first results of blended ...