Претрага
27 items
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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)
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From DELA Based Dictionary to Leximirka Lexical Database
Biljana Lazić, Mihailo Škorić (2020)In this paper, we will present an approach in transforming Serbian language Morphological dictionaries from a DELA text format to a lexical database dubbed Leximirka. Considering the benefits of storing data within a database when compared to storing them in textual documents, we will outline some of the functionality that the database has made possible. We will also show how hand-made rules that use category labels lexical entries are marked with can be used to link lexical entries. ...Biljana Lazić, Mihailo Škorić. "From DELA Based Dictionary to Leximirka Lexical Database" in Infotheca, Faculty of Philology, University of Belgrade (2020). https://doi.org/10.18485/infotheca.2019.19.2.4
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A Data Driven Approach for Raw Material Terminology
Olivera Kitanović, Ranka Stanković, Aleksandra Tomašević, Mihailo Škorić, Ivan Babić, Ljiljana Kolonja (2021)The research presented in this paper aims at creating a bilingual (sr-en), easily searchable, hypertext, born-digital, corpus-based terminological database of raw material terminology for dictionary production. The approach is based on linking dictionaries related to the raw material domain, both digitally born and printed, into a lexicon structure, aligning terminology from different dictionaries as much as possible. This paper presents the main features of this approach, data used for compilation of the terminological database, the procedure by which it has ...sirovine, rudarstvo, terminologija, rečnik, terminološka aplikacija, mobilna aplikacija, digitizacija, leksički podaci, korpusi, otvoreni povezani podaciOlivera Kitanović, Ranka Stanković, Aleksandra Tomašević, Mihailo Škorić, Ivan Babić, Ljiljana Kolonja. "A Data Driven Approach for Raw Material Terminology" in Applied Sciences, MDPI AG (2021). https://doi.org/10.3390/app11072892
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Machine Learning and Deep Neural Network-Based Lemmatization and Morphosyntactic Tagging for Serbian
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 ...Ranka Stanković, Branislava Šandrih, Cvetana Krstev, Miloš Utvić, Mihailo Škorić. "Machine Learning and Deep Neural Network-Based Lemmatization and Morphosyntactic Tagging for Serbian" in Proceedings of the 12th Language Resources and Evaluation Conference, May Year: 2020, Marseille, France, European Language Resources Association (2020)
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Претрага корпуса заснована на употреби екстерних лексичких ресурса путем веб-сервиса
У раду се разматра хибридни приступ претрази корпуса, илустрован на примеру алатки OCWB и NoSketch Engine, примењених на специјални корпус из области рударства (РудКор) и Корпус савременог српског језика (СрпКор). Разматрани приступ комбинује постојеће могућности алатки OCWB и NoSketch Engine, које своју претрагу заснивају на лингвистичкој анотацији корпуса, са новим могућностима претраге у виду консултовања екстерних језичких ресурса (морфолошки електронски речници српског језика и лексичка база података Српски ворднет). Хибридни приступ је реализован надоградњом вебсучеља која поменуте алатке користе ...Милош Утвић, Ранка Станковић, Александра Томашевић, Михаило Шкорић, Биљана Лазић. "Претрага корпуса заснована на употреби екстерних лексичких ресурса путем веб-сервиса" in Научни састанак слависта у Вукове дане - Vol. 48/3 Српски језик и његови ресурси, Међународни славистички центар, Филолошки факултет, Универзитет у Београду (2019). https://doi.org/10.18485/msc.2019.48.3.ch12
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Medical Domain Document Classification via Extraction of Taxonomy Concepts from MeSH Ontology
Mihailo Škorić, Mauro Dragoni (2019)This paper is a result of a task that was presented to attendants of Keyword Search in Big Linked Data summer school, that was organized by Vienna University of Technology, under the Keystone COST action in the summer of 2017. It presents a specific approach to the classification via creation of minimal document surrogates based on the US National medical library’s MeSH ontology, which is derived from the Medical Subject Headings thesaurus. In a series of previously classified medically ...Mihailo Škorić, Mauro Dragoni. "Medical Domain Document Classification via Extraction of Taxonomy Concepts from MeSH Ontology" in Infotheca, Faculty of Philology, University of Belgrade (2019). https://doi.org/10.18485/infotheca.2019.19.1.3
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Preparation of Multimedia Document “YU Rock Scene”
SUMMARY: This study will present the preparation process of a multimedia document entitled YU ROCK SCENE in which participants were senior students of undergraduate studies of the Department of Library and Information Science at the University of Belgrade Faculty of Philology during the academic year 2014/2015, as a part of the subject Multimedia Documents. This study gives an overview of the historical development of rock and roll in the territory of the former Yugoslavia, rock scene in Yugoslav republics, ...Milena Obradović, Aleksandra Arsenijević, Mihailo Škorić. "Preparation of Multimedia Document “YU Rock Scene”" in Infotheca - Journal for Digital Humanities, Faculty of Philology, University of Belgrade (2017). https://doi.org/10.18485/infotheca.2016.16.1_2.6
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Дигиталне библиотеке у рударству и геологији са посебним освртом на представљање сиве литературе
Имајући у виду потребу за проналажењем информација похрањених у различитим облицима документације која се генерише у областима рударства и геологије на Рударско-геолошком факултету Универзитета у Београду, отпочет је процес развоја дигиталне библиотеке ROmeka@RGF, на платформи за приказивање дигиталних колекција - Омека. Значајан део документације представља такозвана сива литература која је претежно заступљена у виду вишетомне документацијe. Први савладани изазов представљало је повезивање различитих вишетомних делова пројектних извештаја у једну целину која би била лако доступна и претражива.Биљана Лазић, Александра Томашевић, Михаило Шкорић. "Дигиталне библиотеке у рударству и геологији са посебним освртом на представљање сиве литературе" in Научна конференција Библиоинфо — 55 година од покретања наставе библиотекарства на високошколском нивоу, Београд 18. мај 2017., Филолошки факултет Универзитета у Београду (2019). https://doi.org/10.18485/biblioinfo.2017.ch13
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Употреба веб платформе Омека за дигиталне библиотеке из домена рударства
У овом раду биће представљена Омека, веб платформа за приказивање дигиталних колекциjа и систем за управљање њиховим садржаjем. Њену примену у области техничких наука, а конкретно у области рударства, приказаћемо на примеру дигиталне библиотеке ROmeka@RGF. За Омеку смо се определили првенствено због чињенице да jе jедноставна за коришћење, има обимну пратећу документациjу и не захтева уско специфичне информатичке вештине што jе чини приступачном за већину корисника, а нарочито за рударске инжењере, коjима jе ова дигитална библиотека првенствено намењена. Документа ...Александра Томашевић, Биљана Лазић, Далибор Воркапић, Михаило Шкорић, Љиљана Колоња. "Употреба веб платформе Омека за дигиталне библиотеке из домена рударства" in Инфотека, Филолошки факултет, Универзитет у Београду; Универзитетска библиотека „Светозар Марковић“; Заједница библиотека универзитета у Србији (2017)
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Towards Automatic Definition Extraction for Serbian
U radu su prikazani preliminarni rezultati automatske ekstrakcije kandidata za definicije rečnika iz nestrukturiranih tekstova na srpskom jeziku u cilju ubrzanja razvoja rečnika. Definicije u rečniku Srpske akademije nauka i umetnosti (SANU) korišćene su za modelovanje različitih tipova definicija (opisnih, gramatičkih, referentnih i sinonimskih) koje imaju različite sintaksičke i leksičke karakteristike. Korpus istraživanja sastoji se od 61.213 definicija imenica, koje su analizirane korišćenjem morfoloških e-rečnika i lokalnih gramatika implementiranih kao pretvarači konačnih stanja u paketu za obradu korpusa otvorenog ...Ranka Stanković, Cvetana Krstev, Rada Stijović, Mirjana Gočanin, Mihailo Škorić. "Towards Automatic Definition Extraction for Serbian" in Proceedings of the XIX EURALEX Congress of the European Assocition for Lexicography: Lexicography for Inclusion (Volume 2). 7-9 September (virtual), Democritus University of Thrace (2021)
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Distant Reading in Digital Humanities: Case Study on the Serbian Part of the ELTeC Collection
Ranka Stanković, Cvetana Krstev, Branislava Šandrih Todorović, Duško Vitas, Mihailo Škorić, Milica Ikonić Nešić (2022)In this paper we present the Serbian part of the ELTeC multilingual corpus of novels written in the time period 1840-1920. The corpus is being built in order to test various distant reading methods and tools with the aim of re-thinking the European literary history. We present the various steps that led to the production of the Serbian sub-collection: the novel selection and retrieval, text preparation, structural annotation, POS-tagging, lemmatization and named entity recognition. The Serbian sub-collection was published ...Ranka Stanković, Cvetana Krstev, Branislava Šandrih Todorović, Duško Vitas, Mihailo Škorić, Milica Ikonić Nešić. "Distant Reading in Digital Humanities: Case Study on the Serbian Part of the ELTeC Collection" in Proceedings of the Language Resources and Evaluation Conference, June 2022, Marseille, France, European Language Resources Association (2022)
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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)
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It-Sr-NER: Web Services for Recognizing and Linking Named Entities in Text and Displaying Them on a Web Map
The paper will present the results of the project `“It-Sr-NER: Web services for named entities recognition, linking and mapping,” in which teams from the University of Turin and the Society for Language Resources and Technologies JeRTeh participated, and whose goal was the development of the It-Sr-NER web service for named entity annotations in the text and displaying them on the map. Named entities in these services are names of persons, places, organizations, demonyms (ethnicities), events and works of art.Olja Perišić, Ranka Stanković, Milica Ikonić Nešić, Mihailo Škorić. "It-Sr-NER: Web Services for Recognizing and Linking Named Entities in Text and Displaying Them on a Web Map" in Infotheca, Belgrade : Faculty of Philology, University of Belgrade (2023). https://doi.org/10.18485/infotheca.2023.23.1.3
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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 ...Mihailo Škorić. "Classification of Terms on a Positive-Negative Feelings Polarity Scale Based on Emoticons" in Infotheca, Faculty of Philology, University of Belgrade (2017). https://doi.org/10.18485/infotheca.2017.17.1.4
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Annotation of the Serbian ELTeC Collection
Ovaj rad predstavlja takozvano izdanje nivoa 2 kolekcije tekstova SrpELTeC razvijene u okviru aktivnosti Radne grupe 2 – Metode i alati COST akcije CA 16204 (Distant Reading for European Literary History) i njene specifikacije šeme. Izdanje nivoa 2 je nastavak izdanja nivoa 1, koje se koristi kao ulaz za morfosintaksičke i NER anotacije romana. Srpska obrada nivoa-2 je navedena kroz potrebne korake, uključujući metode i alate koji se koriste u tom procesu. Neki statistički podaci iz srpske kolekcije nivoa ...udaljeno čitanje, literarni korpus, tagiranje, prepoznavanje imenovanih entiteta, lematizacija, ELTeCRanka Stanković, Cvetana Krstev, Branislava Šandrih Todorović, Mihailo Škorić. "Annotation of the Serbian ELTeC Collection" in Infotheca, Faculty of Philology, University of Belgrade (2021). https://doi.org/10.18485/infotheca.2021.21.2.3
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SrpELTeC on Platforms: Udaljeno čitanje, Aurora, NoSketch
Serbian ELTeC collection (100 novels and extended) developed within COST action CA16204 Distant Reading for European Literary History comprises at this moment 111 novels published in the period 1840-1920. Such a valuable resource is and will be used for various lexical and linguistic research, by using different tools and methodologies. In this paper, three platforms on which these novels are published will be presented: “Udaljeno ˇcitanje”, Aurora and Sketch Engine.Ranka Stanković, Mihailo Škorić, Petar Popović. "SrpELTeC on Platforms: Udaljeno čitanje, Aurora, NoSketch" in Infotheca, Faculty of Philology, University of Belgrade (2022). https://doi.org/10.18485/infotheca.2021.21.2.7
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Parallel Stylometric Document Embeddings with Deep Learning Based Language Models in Literary Authorship Attribution
This paper explores the effectiveness of parallel stylometric document embeddings in solving the authorship attribution task by testing a novel approach on literary texts in 7 different languages, totaling in 7051 unique 10,000-token chunks from 700 PoS and lemma annotated documents. We used these documents to produce four document embedding models using Stylo R package (word-based, lemma-based, PoS-trigrams-based, and PoS-mask-based) and one document embedding model using mBERT for each of the seven languages. We created further derivations of these ...Mihailo Škorić, Ranka Stanković, Milica Ikonić Nešić, Joanna Byszuk, Maciej Eder. "Parallel Stylometric Document Embeddings with Deep Learning Based Language Models in Literary Authorship Attribution" in Mathematics, MDPI AG (2022). https://doi.org/10.3390/math10050838
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Веб-алат за управљање грађом Речника САНУ и анотација листића
Грађа на основу које се израђује Речник српскохрватског књижевног и народног језика САНУ, а која садржи материјал из преко 4.500 писаних извора и 300 рукописних збирки речи са подручја народних говора штокавског наречја, забележена је на око 5.000.000 листића. Богат лексички материјал, који обухвата књижевни и народни језик у протекла два века и на основу кога треба да се напише још најмање 15 томова Речника, пружа могућност и за разноврсна лингвистичка и ванлингвистичка истраживања. Из тог разлога се приступило ...Рада Стијовић, Ранка Станковић, Михаило Шкорић. "Веб-алат за управљање грађом Речника САНУ и анотација листића" in Rasprave Instituta za hrvatski jezik i jezikoslovlje, Institute of Croatian Language and Linguistics (2020). https://doi.org/10.31724/rihjj.46.2.32
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It-Sr-NER: CLARIN Compatible NER and Geoparsing Web Services for Italian and Serbian Parallel Text
Olja Perišić, Ranka Stanković, Milica Ikonić Nešić, Mihailo Škorić. "It-Sr-NER: CLARIN Compatible NER and Geoparsing Web Services for Italian and Serbian Parallel Text" in Linköping Electronic Conference Proceedings, Linköping University Electronic Press (2023). https://doi.org/10.3384/ecp198010
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Parallel Bidirectionally Pretrained Taggers as Feature Generators
In a setting where multiple automatic annotation approaches coexist and advance separately but none completely solve a specific problem, the key might be in their combination and integration. This paper outlines a scalable architecture for Part-of-Speech tagging using multiple standalone annotation systems as feature generators for a stacked classifier. It also explores automatic resource expansion via dataset augmentation and bidirectional training in order to increase the number of taggers and to maximize the impact of the composite system, which ...Ranka Stanković, Mihailo Škorić, Branislava Šandrih Todorović. "Parallel Bidirectionally Pretrained Taggers as Feature Generators" in Applied Sciences, MDPI AG (2022). https://doi.org/10.3390/app12105028