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Упит dcterms_subject_txt:machine learning

119 items

  • Managing mining project documentation using human language technology

    Aleksandra Tomašević, Ranka Stanković, Miloš Utvić, Ivan Obradović, Božo Kolonja (2018)
    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 documentation

  • 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 ...
    lexical semantic resources, sense alignment, lexicography, language resource
    ... Navigli, 2009). Matuschek and Gurevych present the Dijkstra-WSA algorithm as a graph-based ap- proach (Matuschek and Gurevych, 2013) and a machine learning approach where features such as sense distances and gloss similarities are used for the task of WSA (Ma- tuschek and Gurevych, 2014). It should ...
    ... to be used (we discuss this below), we found that this methodology was broadly effective and we believe will simplify the de- velopment of machine-learning-based classifiers for sense alignment prediction. 3.2. Data selection The selection of the initial set of lemmas and senses to be aligned ...
    ... challenges, particularly in NLP. In recent years, a few ef- forts have been made to create gold-standard dataset, i.e., a dataset of instances used for learning and fitting parameters, for aligning senses across monolingual resources includ- ing collaboratively-curated ones such as Wikipedia2, and expert-made ...

  • Coupling of artificial intelligence methods in the development of hybrid intelligent systems

    Ranka Stanković, Ivan Obradović, Nikola Lilić (2001)
    In this paper we present an approach which couples various artificial intelligence (AI) methods in the solution of complex problems that cannot adequately be solved by a single AI method. We argue that the resulting, hybrid intelligent systems (HIS) can be successfully implemented with the use of available AI software libraries. Different coupling methods are analyzed and a classification of hybrid systems based on the chosen method is given. Two case studies of hybrid systems used in mining engineering ...
    hibridni inteligentni sistemi, spregnuti sistemi, metode veštačke inteligencije, rudarske primene veštačke inteligencije
    ... mining applications of artificial intelligence 1. Introduction AI methods and techniques, such as experts systems, case-base reasoning, machine learning, neural networks or genetic algorithms have successfully been used for solving certain types of problems in a wide area of applications. ...

  • Towards the semantic annotation of SR-ELEXIS corpus: Insights into Multiword Expressions and Named Entities

    Cvetana Krstev, Ranka Stanković, Aleksandra Marković, Teodora Mihajlov (2024)
    Овај рад представља активности на развоју корпуса ELEXIS-sr, српском додатку вишејезичном анотираном корпусу ELEXIS-а, који се састоји од семантичких анотација и репозиторија значења речи. ELEXIS је паралелни вишејезични анотирани корпус на десет европских језика, који може да се користи као вишејезички репер за евалуацију европских језика са мање и средње развијеним ресурсима. Фокус овог рада је на вишечланим изразима и именованим ентитетима, њиховом препознавању у скупу реченица ELEXIS-sr и поређењу са анотацијама на другим језицима. Разматрају се први кораци ...
    полилексемске језинице, именовани ентитет, вишезначност значења речи, складиште смисла, LLOD

  • Two approaches to compilation of bilingual multi-word terminology lists from lexical resources

    Branislava Šandrih, Cvetana Krstev, Ranka Stanković (2020)
    In this paper, we present two approaches and the implemented system for bilingual terminology extraction that rely on an aligned bilingual domain corpus, a terminology extractor for a target language, and a tool for chunk alignment. The two approaches differ in the way terminology for the source language is obtained: the first relies on an existing domain terminology lexicon, while the second one uses a term extraction tool. For both approaches, four experiments were performed with two parameters being ...
    Linguistics and Language,Software,Artificial Intelligence,Language and Linguistics

  • 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
    ... slučaja u primeni mašinskog učenja ‘case study in application of machine learning’ the recognised terms would be: studija slučaja ‘case study’, studija slučaja u primeni ‘case study in application’, mašinskog učenja ‘machine learning’ and the longest match would be studija slučaja u primeni mašinskog ...
    ... Bilingual . . . ”, pp. 119–138 In several cases, the bilingual lists of MWTs were compiled in order to im- prove statistical machine translation (SMT) of an existing machine transla- tion system (Bouamor et al., 2012; Tsvetkov and Wintner, 2010; Naguib Sab- tan, 2016; Irvine and Callison-Burch, 2016; ...
    ... Queries”. In Proceedings of the 6th Workshop on Statistical Machine Translation, 187–197. Association for Computational Linguistics, 2011. Hewavitharana, Sanjika and Stephan Vogel. “Extracting Parallel Phrases from Comparable Data for Machine Translation”. Natural Language En- gineering Vol. 22, no. 4 ...

  • 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)
    Serbian language
    ... language for training, e. g., a spell checker, paral- lel texts in two (or more) languages have to be available for training a machine translation system. e machine learning algorithm then learns patterns of how words, short phrases and complete sentences are translated. is statistical approach usually ...
    ... technology, i. e., language checking, Web search, speech interaction, and machine transla- tion. ese applications and basic technologies include ‚ spelling correction ‚ authoring support ‚ computer-assisted language learning ‚ information retrieval ‚ information extraction ‚ text summarisation ...
    ... utterances to a limited set of keywords, or manually creating language models that cover a large range of natural language ut- terances. Using machine learning techniques, language models can also be generated automatically from speech corpora, i. e., large collections of speech audio files and text ...

  • Чији је пример? Анализа лексичких обележја на примерима Речника САНУ

    Бранислава Б. Шандрих, Ранка М. Станковић, Мирјана С. Гочанин (2019)
    У овом раду поставља се питање: да ли се може утврдити ко је аутор неког текста уколико се анализирају искључиво његова лексичка обележја? Како бисмо покушали да добијемо одговор на ово питање, посматрали смо примере у оквиру речничког чланка појединачне лексеме Речника САНУ, који су забележени у пет томова (и то: I, II, XVIII, XIX и XX). Сваки пример је преузет из неког извора на шта упућују скраћенице, наведене у заградама. Од преко 5.000 понуђених извора, определили смо се ...
    идентификација ауторства, лексичка обележја, анализа обележја, примери Речника САНУ
    ... препознавање наизглед скривених правил- ности, које би људском оку могле промаћи. Модерна математичко-рачунарска дисциплина машинско учење (енгл. Machine Learning) припада области вештачке интелигенције (енгл. Artifical Inteligence). Уопштено речено, машинско учење бави се подучавањем маши- на (рачунара ...
    ... Слика 7. Анализа главних компоненти ЛИТЕРАТУРА Блеј и др. 2003: D. M. Blei, A. Y. Ng & M. I. Jordan, Latent Dirichlet Allocation. Journal of Machine Learning Research, 3(Jan), 993–1022. Белић 1959: Александар Белић, „Увод”, речник српскохрватског књижевног и народног језика сану, Београд: САНУ, VII‒XXVI ...

  • Classification of Terms on a Positive-Negative Feelings Polarity Scale Based on Emoticons

    Mihailo Škorić (2017)
    The goal of this paper is to draw attention to the possibility of using emoticon-riddled text on the web in language-neutral sentiment analysis. It introduces several innovations in the existing framework of research and tests their effectiveness. It also presents a software tool especially made for that purpose, explains how it builds a database with sentimental value of terms and offers the user manual. Finally, it presents a software tool that tests the new database and gives some examples ...
    data mining, information extraction, emotions, text on the web
    ... the determiners are language-independent, the system would be language-independent as well. If it turns out to be valid, this method could allow machine learning the usage of huge corpus of texts that are pre-labeled with determiners. 1.1 Review of their former similar studies In 2005 a series of experiments ...
    ... classification of posts, so that consumers can explore the attitude of previous customers before buying a product. Several different algorithms for machine learning 68 Infotheca Vol. 17, No. 1, 2017 Scientific paper were trained with eight emoticons (five positive and three negative), and the results ...
    ... Emoticons”, pp. 67–91 Under an assumption that reducing all possible parameters onto polar- ity, there isn’t a significant information loss and that the machine can decide between multiple choices using a single parameter, task is reduced to deter- mination of what is positive and what is negative. With a ...

  • Towards Semantic Interoperability: Parallel Corpora as Linked Data Incorporating Named Entity Linking

    Ranka Stanković, Milica Ikonić Nešić, Olja Perisic, Mihailo Škorić, Olivera Kitanović (2024)
    U radu se prikazuju rezultati istraživanja vezanih za pripremu paralelnih korpusa, fokusirajući se na transformaciju u RDF grafove koristeći NLP Interchange Format (NIF) za lingvističku anotaciju. Pružamo pregled paralelnog korpusa koji je korišćen u ovom studijskom slučaju, kao i proces označavanja delova govora, lematizacije i prepoznavanja imenovanih entiteta (NER). Zatim opisujemo povezivanje imenovanih entiteta (NEL), konverziju podataka u RDF, i uključivanje NIF anotacija. Proizvedene NIF datoteke su evaluirane kroz istraživanje triplestore-a korišćenjem SPARQL upita. Na kraju, razmatra se povezivanje Linked ...
    paralelni korpusi, povezivanje imenovanih entiteta, prepoznavanje imenovanih entiteta, NER, NEL, povezani podaci, NIF, Vikipodaci

  • A Description of Morphological Features of Serbian: a Revision using Feature System Declaration

    Cvetana Krstev, Ranka Stanković, Vitas Duško (2010)
    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 ...
    Morphology, Lexicon, lexical database, Standards for LRs
    ... http://www-igm.univ-mlv.fr/~unitex/UnitexManual2.1 .pdf. Popović, Z. (2009) Taggers Applied On Texts On Serbian Language, Language Tools And Machine Learning. In Infotheca, Vol. X, No. 2, (to appear). Przepiórkowski, A. and Woliński, M. (2003) A Flexemic Tagset For Polish. In Proc. of the Workshop ...

  • Primena termografije u rudarstvu

    Stevan Đenadić, Vesna Damnjanović, Predrag Jovančić, Dragan Ignjatović, Dragutin Jovković, Filip Miletić (2019)
    Danas, gotovo da nema oblasti u nauci i tehnici u kojoj se Infracrvena termografija ne primenjuje kao metoda za lociranje i praćenje zagrejanih objekata ili tela, beskontaktnu procenu temperature površina, i nedestruktivno ispitivanje materijala. U radu su prikazane mogućnosti i perspektive primene ove metode u oblasti rudarstva.
    infracrvena termografija, rudarstvo, monitoring
    ... , Yang F., Khan R., Liu L., Yang H., Gao B. & Sum K., Predictive Maintenance of Power Substation Equipment by Infrared Thermography Using a Machine-Learning Approach. Energies. Vol. 10, 1987, 2017. doi: 10.3390/en10121987 [18] Mining Review Africa: Thermal imaging camera averts mining conveyor ...

  • XRD dertermination od hydrothermal phases related to epithermal mineralization in the Čukaru Peki deposit

    Dragana Bosić, Vladica Cvetković, Miodrag Banješević, Kristina Šarić (2024)
    Čukaru Peki, epithermal mineralization, hydrothermal alterations

  • SrpELTeC: A Serbian Literary Corpus for Distant Reading

    Ranka Stanković, Cvetana Krstev, Duško Vitas (2024)
    U članku je predstavljen SrpELTeC, korpus razvijen u okviru akcije COST Distant Reading for European Literary History (CA16204). Svi romani u SrpELTeC-u su odabrani, pripremljeni i obeleženi korišćenjem zajedničkih principa uspostavljenih za sve jezičke zbirke u Evropskoj zbirci književnog teksta (ELTeC). Navedeni su izazovi i rešenja u pripremi SrpELTeC od nule. Svi romani su ručno kodirani u TEI sa bogatim metapodacima i strukturnim napomenama. Automatska anotacija je uključivala POS-označavanje, lematizaciju i imenovane entitete, oslanjajući se na resurse za obradu ...
    digital humanities, Serbian literature, text corpora, distant reading , linked data, named entity recognition, text analytics

  • Infotheca (Q25460443) in Wikidata

    Ranka Stanković, Lazar Davidović (2021)
    Vikipodaci su baza znanja Zadužbine Vikimedija koja predstavlja zajednički izvor različitih vrsta podataka koje koriste ne samo drugi Vikipedijini projekti, već sve više i brojne aplikacije semantičkog veba. U ovom radu ćemo prezentovati primer integracije Vikipodataka sa digitalnim bibliotekama i eksternim sistemima, kao i mogućnost ubrzanja pripreme i unosa podataka na primeru radova iz časopisa za digitalnu humanistiku Infoteka.
    semantički veb,otvoreni povezani podaci, vikpodaci,Infoteka, metapodaci časopisa
    ... overview of scholarly and professional articles, as well as their authors and topics appearing together, grouped by thematic entities: Wikipedia, machine learning, biology, food and the like. scholiaTopic 6. Biblisha 7. WikiCite 88 Infotheca Vol. 21, No. 1, September 2021 Professional paper into different ...
    ... Wikimedia projects, such as Wikipedia and the wider commu- nity alike, for different purposes. This contributes to extending the boundary from machine readable to machine comprehensible data on the web. In this paper, we will present an example of integration of Wikidata with digital libraries and external ...
    ... defined rules of automated management. Wikidata actually fits the trends of information technology development that extend the boundary from machine readable to machine comprehensible data on the web. The Scholia project3 (Nielsen, Mietchen, and Willighagen 2017) is one of the first comprehensive endeavours ...

  • Mine ventilation system planning using genetic algorithms

    Nikola Lilić, Ranka Stanković, Ivan Obradović (1997)
    The most common problem in contemporary mining practice related to the planning and analysis of ventilation systems is the optimization of partially regulated air distribution in mine ventilation networks. This paper presents a two step optimization procedure for partly regulated air distribution in mine ventilation networks. The first step is the determination of air distribution in all branches using the well known Hardy-Cross method. In the second step the distribution and parameters of air flow regulators with minimum engaged ...
    coal, lignite, and peat; ventilation systems; coal mining; underground mining; ventilation; mathematical models; design; air flow; optimization; calculation methods

  • Improvement of education through the cooperation between CEEPUS EURO Geo-Sci network and scientific projects: examples from UB-FMG

    Kristina Šarić, Dejan Prelević, Miloš Marjanović, Uroš Stojadinović, Vladimir Simić (2024)
    CIII-RS-0038, Recon Tethys, DEMONITOR, TMCmod, REASONING

  • Modeliranje tehnoloških procesa u rudarstvu u uslovima nedovoljnosti podataka primenom teorije grubih skupova

    Zoran M. Štirbanović (2015-07-01)
    Rudarstvo, a u okviru njega i priprema mineralnih sirovina, se odlikuje složenošću tehnoloških procesa što je posledica velikog broja uticajnih parametara. Samim tim je potrebno biti veoma obazriv prilikom donošenja odluka u oblasti rudarstva. U cilju što efikasnijeg funkcionisanja procesa, moguće je primeniti različite metode koje služe za pojednostavljenje procesa odlučivanja. Jedna od takvih metoda jeste i teorija grubih skupova. Ona predstavlja relativno novu matematičku teoriju koja je pogodna za razumevanje nepreciznih i nepotpunih podataka kao i za otkrivanje ...
    rudarstvo, priprema mineralnih sirovina, teorija grubih skupova, višekriterijumsko odlučivanje, flotacijsko jalovište, flotacijski kolektor, flotaciona mašina
    ... rough set theory to solve three problems: choosing location for the flotation tailings landfill, choosing flotation collector and choosing flotation machine. The parameters that have the most influence during these three choices were determined, and they represented criteria for selection. The selected ...
    ... Key words: mining, mineral procesing, rough set theory, multi-criteria decision-making, flotation tailings landfill, flotation collector, flotation machine. Scientific area: MINING ENGINEERING Narrow scientific area: SYSTEM ENGINEERING UDC: 005.7:510.644 519.245:519.8/.816/.87 622:622.7/ ...
    ... machines and efficiency of their use, Journal of Mining Science, Vol. 44, No. 3, 2008, pp. 289–297. 102. G. J. Jameson, New directions in flotation machine design, Minerals Engineering, Vol. 23, 2010, pp. 835–841. http://www.chem.mtu.edu/chem_eng/faculty/kawatra/Flotation_Fundamentals.pdf Zoran ...

  • A WordNet Ontology in Improving Searches of Digital Dialect Dictionary

    Miljana Mladenović, Ranka Stanković, Cvetana Krstev (2017)
    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. ...
    ... terms by a first letter) are more convenient to a novice, but they produce much more information than is expected or needed, which slows down the learning process. In this paper we propose a method for connecting the standard language and the dialect, that would enable search over a digital dialect ...
    ... Joseph Wright’s “English Dialect Dictionary” (EED) [8], MS SQLServer for storing a South Serbian dialect dictionary data [7], or it can be one of a machine- readable and interoperable Semantic Web standards, such as RDF, SKOS and SKOS-XL which are used, for example, in the case of the dialect dictionary ...

  • Regional Slope Stability Analysis in Landslide Hazard Assessment Context, North Macedonia Example

    Miloš Marjanović, Biljana Abolmasov, Igor Peshevski, James Reeves, Irena Georgievska (2020)