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Упит dcterms_subject_txt:Simpson’s rule

113 items

  • Coal homogenization stockyard sizing “Tamnava – Zapad” case study

    Božo Kolonja, Dinko Knežević, Ranka Stanković, Dejan Stevanović, Detlef Trummer (2016)
    ... complex and requires the use of more complicated and more expensive machines, the chevron method is generally more desirable. There is no general rule defining which number of layer is considered small and which large, but in general practice up to 100 layers is considered a small number, and above ...
    ... Variability of the geometry of each pile causes problems in organizing operations at the stockyard and arranging coal stacking and reclaiming. Namely, the rule is that piles are alternately filled and emptied, so that when the pile is being filled it is filled completely, and emptied completely when being ...
    ... filling takes 18 to 30 hours (net), meaning a gross value of 1 to 2 days, while emptying takes twice as long. The variability of pile size moves this rule, because filling a shorter pile will take a shorter amount of time, and conversely, a longer pile takes longer to fill. Of course, planning pit ...

  • The Many Faces of SrpKor

    Duško Vitas, Ranka Stanković, Cvetana Krstev (2024.)
    Акроним СрпКор означава фамилију електронских корпуса савременог српског језика чија је изградња почела крајем седамдесетих година прошлога века, а која је постала шире видљива заинтересованој истраживачкој заједници објављивањем његове прве верзије на вебу 2002. године. У овом дугом периоду, посебно пре појаве корисних текстуелних ресурса на вебу, развој корпуса се састојао у прикупљању и обради грађе као и у развоју метода обраде корпуса. Наиме, електронски корпус није само колекција текстова у дигиталном облику (како се то, на пример, наводи ...
    СрпКор, корпуси, српски, лематизација, Лексимирка

  • 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 ...
    ... l measures (Nakagawa & Mori, 2003; Ramisch et al., 2012; Quochi et al., 2012; Zhang et al., 2006) and the other is based on lin- guistic rules. A rule-based approach for the ex- traction of terms based on a cascade of transducers using CasSys tool incorporated in Unitex1 corpus processing platform ...
    ... inflectional FST classes The process of automatic prediction of inflec- tional FST class for a new entry follows a hybrid approach: one part is rule-driven with explicit codification of knowledge about FST classes and the other is statistical, based on existing diction- ary of simple word lemmas ...
    ... recognition we always give precedence to the more probable case. For instance, for 2-component MWUs the precedence is: AXN, 2XN, N2X, NXN. As a rule, we are looking for the longest match for a MWU, that is, if a text matches an Proceedings of the conference Terminology and Artificial Intelligence ...

  • Serbian NER&Beyond: The Archaic and the Modern Intertwinned

    Branislava Šandrih Todorović, Cvetana Krstev, Ranka Stanković, Milica Ikonić Nešić (2021)
    U ovom radu predstavljamo srpski književni korpus koji se razvija pod okriljem COST Akcije „Distant Reading for European Literary History” CA16204. Koristeći ovaj korpus romana napisanih pre više od jednog veka, razvili smo i učinili javno dostupnim Sistem za prepoznavanje imenovanih entiteta (NER) obučen da prepozna 7 različitih tipova imenovanih entiteta, sa konvolucionom neuronskom mrežom (CNN), koja ima F1 rezultat od ≈91% na test skupu podataka. Ovaj model je dalje ocenjen na posebnom skupu podataka za evaluaciju. Završavamo poređenje ...
    ... developing its Named Entity (NE) layer, defined previou- sly as one of the main action’s deliverables. For this purpose, we adjusted and used the existing rule-based NE recognizer for Serbian, 1Distant Reading, https://www.distant-reading.net dubbed SrpNER, that we will describe in Sec- tion 2 together with ...
    ... stev, 2008), coupled with local grammars in the form of finite-state transducers (Vitas and Krstev, 2012), enabled the development of a comprehensive rule-based system for NER Srp- NER. This system presented by Krstev et al. (2014) targeted 11 classes of NEs: dates and time (moments and periods), money ...
    ... as illustrated in Figure 1: Figure 1: SrpNER tags mapped to ELTeC tags (Russian tzar Nikolai). Before text annotation, we used the advan- tage of rule-based NER systems and adjusted SrpNER to these specific texts that differ significantly from newspaper texts for which SrpNER was primarily developed ...

  • A Lexical Approach to Acronyms and their Definitions

    Cvetana Krstev, Duško Vitas, Ranka Stanković (2015)
    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.
    ... g. MOK – Medjunarodni olimpi- jski komitet ‘International Olympic Committee’ but the distinction cannot be made by a simple “initial upper-case” rule. Acronyms, much as other words in Serbian, are charac- terized by grammatical categories of number and gender, and they may inflect in case. The ...
    ... ‘ISO announced’ (feminine), ISO je odgovoran ‘ISO is responsible’ (masculine). Similar is the case with the number – the grammatical number is by a rule singular, while a natural number can be plural, e.g. UN je organi- zovala ‘UN organized’ (natural feminine, singular), UN je odobrio ‘UN sanctioned’ ...
    ... gender and the number were generated for those that do not inflect and this was established by test like (13) and (14). For all remaining the simple rule of thumb was used – all are singular, and only those that end in -a are in the feminine gender. 4. Results In Table 4. we present the results obtained ...

  • Application of the Fuzzy Model in the Evaluation and Selection of Hydraulic Excavators on Open-Pit Lignite Mine

    Stevan Đenadić, Miloš Tanasijević, Vladimir Milisavljević, Dragan Ignjatović, Predrag Jovančić (2021)
    The production of lignite in large open-pit mines is mainly performed with continuously operating equipment, where bucket-wheel excavators, bucket-chain excavators, belt conveyors, and spreaders are the basic machines. Smaller machines, usually of discontinuous operating nature, are commonly categorized as auxiliary machines. This paper presents the research related to the analysis of auxiliary machine parameters with the case study for a hydraulic excavator. The purpose of the analysis was to develop a model of rating quality of service of the ...
    Fuzzy theory, hydraulic excavator, selection, quality of service, asset management

  • Concepts for Improving Machine Learning Based Landslide Assessment

    Miloš Marjanović, Mileva Samardžić Petrović, Biljana Abolmasov, Uroš Đurić (2019)
    Katastar klizišta, Podložnost, Hazard, Mašinsko učenje, Uzorkovanje, Validacija

  • Using Lexical Resources for Irony and Sarcasm Classification

    Miljana Mladenović, Cvetana Krstev, Jelena Mitrović, Ranka Stanković (2017)
    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) ...
    ... combi- nation of all given relations, where the number of relations in a rule goes up to a maximum of all six relations. Restrictions that we introduce are the following: (1) a relation cannot be repeated more than once in a given rule; (2) the relation synonym can be found only as the first one in a series ...
    ... swn:hyponym ?b) (?b near_antonym: ?c) -> (?a swn:irony ?c)]" If we look at the rules from the set {rule2, . . . , rule6}, it can be noticed that each rule can be expanded with the relation synonym, if it exists, so that we get an expanded set of rules in the following form: "[rule21: (?a swn:synonym ?b)( ...
    ... synonyms and separated by the antonymy relation. from RDF triples (?a swn:irony ?z), where a is the first and z is the last member of the observed rule. According to [1], existence of irony in a text is characterized by markers. Those are literary devices which indicate that irony is present, but if ...

  • Definition of criteria and alternatives for choosing the optimal mining method deposits when applying multi: Criteria optimization, Belgrade, June 2024

    Sanja Bajić, Dragoljub Bajić, Branko Gluščević, Radmila Gaćina, Josip Išek (2024)
    multi-criteria decision-making, definition of criteria, underground exploitation

  • Improving Document Retrieval in Large Domain Specific Textual Databases Using Lexical Resources

    Ranka Stanković, Cvetana Krstev, Ivan Obradović, Olivera Kitanović (2017)
    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 ...
    ... for each document with the aid of morphological dictionaries and transducers. Named entities within metadata were also recognized with the help of a rule- based system. Both the bag of words and the metadata were then used for pre-indexing each document. A combination of several based measures was applied ...
    ... for each document with the aid of morphologi- cal dictionaries and transducers. Named entities within metadata were also recognized with the help of a rule-based system. Both the bag of words and the metadata were then used for pre-indexing each document. A combination of several tf idf based measures was ...
    ... e-dictionary of forms consists of a list of entries supplied with their lemmas, morphosyntactic, semantic and other information. The forms are, as a rule, automatically generated from the dictio- naries of lemmas containing the information that enable production of forms. For this purpose almost 1,000 ...

  • Digital Library From A Domain Of Criminalistics As A Foundation For A Forensic Text Analysis

    Dalibor Vorkapić, Aleksandra Tomašević, Miljana Mladenović, Ranka Stanković, Nikola Vulović (2017)
    U ovom radu predstavljen je model koji omogućava prikupljanje, pripremu, opis metapodataka, upravljanje i eksploataciju, uključujući pretragu punog teksta dokumenata iz domena kriminalistike napisanih na srpskom jeziku. Predloženi pristup primenjuje se na veb portalu koji sakuplja različite tekstove nastale iz časopisa Akademije za kriminalistiku i policijske studije, Krivičnog zakona Srbije, konferencija „Tara“ i „Reiss“, kao i iz nekih doktorskih disertacija vezanih za ovu oblast istraživanje. Nakon obrade teksta, korpus koji sadrži preko 5500 stranica običnog teksta, kreiran je i ...
    Omeka, Wordnet, pretraga punog teksta, morfološka i semantička pretraga teksta, proširenje upita
    ... texts containning these terms as „forensic texts“. 19 Ranka Stanković, Cvetana Krstev, Ivan Obradović, Biljana Lazić, and Aleksandra Trtovac, “Rule-based Automatic Multi-word Term Extraction and Lemmatization”, Proceedings of the 10th International Conference on Language Resources and Evaluation ...
    ... PhD Thesis. Univerzitet u Beogradu-Filološki fakultet. 7. Ranka Stanković, Cvetana Krstev, Ivan Obradović, Biljana Lazić, and Aleksandra Trtovac, “Rule-based Automatic Multi-word Term Extraction and Lemmatization”, Proceedings of the 10th International Conference on Language Resources and Evaluation ...
    ... org/ 17. https://www.gnu.org/licenses/gpl-3.0.en.html 18. Ranka Stanković, Cvetana Krstev, Ivan Obradović, Biljana Lazić, and Aleksandra Trtovac, “Rule-based Automatic Multi-word Term Extraction and Lemmatization”, Proceedings of the 10th International Conference on Language Resources and Evaluation ...

  • 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. ...
    ... inflected forms of stan- dard terms and Serbian WordNet (SWN) ontology represented in OWL2 format for which we define rules expressed in Semantic Web Rule Language (SWRL) to be used to generate synonymous groups in the SWN ontology on the basis of the indirect synonymy relation. In Section 4 we propose ...
    ... (1) a relation from the set of five given relations synonym, similar_to, also_see, verb_group, hyponym cannot be repeated more than once in a given rule; (2) the relation synonym has to be found only as the last one in a sequence of given five relations. In this way we obtained 33 rules for reasoning ...

  • Phase relations and physical indicators of municipal waste from old landfills in Serbia

    Dragoslav R Rakić, Irena G Basarić Ikodinović, Jovana M Janković, Tina D Đurić (2021)
    Due to certain similarities of municipal waste and soil, usually for the determination of basic parameters of physical state, laboratory and field tests which are common in geotechnical investigations are used. It is often to construct an apparatus for special purpose to perform some specific laboratory and field tests. Therefore, different values of indicators of municipal waste physical state can be found in the literature. The basic reasons should be found in different definitions and methods that researchers use ...
    municipal waste, moisture content, unit weight, specific gravity, grain size distribution, porosityGeneral Computer Science
    ... fluid within the pore space of waste (Zornberg et al., 1999). Very wide intervals of municipal waste moisture can be found in the literature. As a rule, municipal waste moisture is the highest in the spring and autumn period (about 50%), because besides higher rainfalls and content of organic ...
    ... where: Ayi - increase of unit weight of component i In the literature we can find values that range in wide interval (y =3 – 17 kN/mš). As a rule, higher values were measured at landfills with larger and more often use of earth materials for daily overlays and at landfills with higher content ...

  • 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
    ... rules which are executed in the defined order. If one pattern doesn’t match the given token, a next one is picked. At the end of the chain, there is a rule which states that the word is of Noun category – same as for Default tagger. Obviously, this model AII 1.1.2 will perform better than the baseline ...
    ... Statistical Part-of-Speech Tagger,” Proc. Sixth Applied Natural Language Processing Conference, Seattle, Washington, USA, 2000 [22] E. Brill, “A simple rule-based part of speech tagger”, Proc. Third conference on Applied natural language processing (ANLC '92), Stroudsburg, Pennsylvania, USA, Mar. 1992 ...

  • Adaptive neuro-fuzzy prediction of operation of the bucket wheel drive based on wear of cutting elements

    Filip Miletić, Predrag D. Jovančić, Milos Milovančević, Dragan Ignjatović (2020)
    The capacity of the rotor excavator depends largely on the operation of the subsystem for digging. There is a great contribution to the correct and sharp teeth when the capacity is the highest. In the function of time, the teeth become clogged due to abrasive wear, or changes in their geometric shape. To analyze the bucket wheel drive in depend on wear of the cutting elements in this study adaptive neuro fuzzy inference system (ANFIS) approach was implemented. ANFIS ...
    Pogon rotornog točka, habanje, rezni elementi, ANFIS

  • Old or New, We Repair, Adjust and Alter (Texts)

    Cvetana Krstev, Ranka Stanković (2020)
    U ovom radu predstavljamo kako se e-rečnici i kaskade transduktora konačnih stanja implementirani u alatu Unitex mogu koristiti za rešavanje tri problema transformacije teksta: ispravljanje tekstova nakon OCR-a, vraćanje dijakritičkih znakova i prebacivanje između različitih jezičkih varijanti.
    ispravka teksta, OCR greške, restauracija dijakritika , jezičke varijante, elektronski rečnik, transduktori konačnih stanja
    ... problems are sometimes tackled as translation problems, as for instance in the case of Arabic dialects (Salloum and Habash, 2012) – authors present a rule-based machine translation system that transforms dialectal Arabic to Modern Standard Arabic. For Serbian, text mending problems were not often reported ...
    ... *ппво*_*ипво*_*пиво*_ииво*, after that ‘и’ → ‘н’ is applied resulting in *ппво*_*ипво*_*пиво*_*ииво* _*нпво*_*пнво*_*ниво*_*инво*_*ииво*. After that rule ‘н’ → ‘п’ is not applied because it would generate same candidates. 4. Candidates are accepted if they represent words in SMD; others are rejected ...
    ... and Electronic dictionaries. Faculty of Philology, University of Belgrade, 2008 Krstev, Cvetana, Ranka Stanković and Duško Vitas. “Knowledge and Rule- Based Diacritic Restoration in Serbian”. In Proceedings of the Third Inter- national Conference Computational Linguistics in Bulgaria (CLIB 2018), ...

  • The Usage of Various Lexical Resources and Tools to Improve the Performance of Web Search Engines

    Krstev Cvetana, Stanković Ranka, Vitas Duško, Obradović Ivan (2008)
    In this paper we present how resources and tools developed within the Human Language Technology Group at the University of Belgrade can be used for tuning queries before submitting them to a web search engine. We argue that the selection of words chosen for a query, which are of paramount importance for the quality of results obtained by the query, can be substantially improved by using various lexical resources, such as morphological dictionaries and wordnets. These dictionaries enable semantic ...
    LR web services, MultiWord Expressions & Collocations, Information Extraction, Information Retrieval
    ... noun+X+X). When identifying the structure of a free phrase it may sometimes be difficult to decide which components inflect and which don’t. One simple rule would be that word forms that are unknown (i.e. that do not have a corresponding entry in our e-dictionaries) do not inflect. It would yield correct ...
    ... the next word is in the grammatical case that is required by that preposition, neither of the word forms following the noun will inflect”. This rule would correctly determine that the free phrase kamatne stope na dinarsku štednju ‘interest rates on savings in dinars 1 ’ has the form adject ...

  • Using English Baits to Catch Serbian Multi-Word Terminology

    Cvetana Krstev, Branislava Šandrih, Ranka Stanković (2018)
    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 inflection
    ... textual resource containing 14,710 aligned sentences; • Already mentioned Dictionary of Library and Infor- mation Science (English/Serbian pairs); • The rule-based system for the extraction and lemmati- zation of potential terminological nominal phrases; • Bilingual Serbian/English list of inflected word ...
    ... variant (because texts were in this pronunciation) and only those English/Serbian translation pairs where at least one term in a pair is an MWT. 4.3. The rule-based system for the terminology extraction The approach to terminology extraction for Serbian based on e-dictionaries and local grammars described ...
    ... Istanbul, Turkey, may. European Lan- guage Resources Association (ELRA). Stankovic, R., Krstev, C., Obradovic, I., Lazic, B., and Trtovac, A. (2016). Rule-based automatic multi-word term extraction and lemmatization. In Nicoletta Calzo- lari, et al., editors, Proceedings of the Tenth Interna- tional ...

  • 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

  • Keyword Extraction from Parallel Abstracts of Scientific Publications

    Slobodan Beliga, Olivera Kitanović, Ranka Stanković, Sanda Martinčić-Ipšić (2017)
    ... publicly available from http://langnet.uniri. hr/resources.html. The previous research [14] for terminology extraction in the Serbian language used the rule-based method for multi-word term extraction that relies on lexical resources for modeling various syntactic structures of multi-word terms. It is applied ...
    ... pp. 37–48. Springer, Cham (2017). https://doi.org/10. 1007/978-3-319-53640-8_4 14. Stanković, R., Krstev, C., Obradović, I., Lazić, B., Trtovac, A.: Rule-based auto- matic multi-word term extraction and lemmatization. In: Proceedings of the 10th International Conference on Language Resources and Evaluation ...