Претрага
13 items
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Sentiment Analysis of Serbian Old Novels
In this paper we present first study of Sentiment Analysis (SA) of Serbian novels from the 1840-1920 period. The preparation of sentiment lexicon was based on three existing lexicons: NRC, AFFIN and Bing with additional extensive corrections. The first phase of dataset refinement included filtering the word that are not found in Serbian morphological dictionary and in second automatic POS tagging and lemma were manually corrected. The polarity lexicon was extracted and transformed into ontolex-lemon and published as initial ...Ranka Stanković, Miloš Košprdić, Milica Ikonić Nešić, Tijana Radović. "Sentiment Analysis of Serbian Old Novels" in Proceedings of the 2nd Workshop on Sentiment Analysis and Linguistic Linked Data, June 2022, Marseille, France, European Language Resources Association (2022)
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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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Serbian ELTeC Sub-Collection in Wikidata
This paper presents an example of integration of Wikidata with digital libraries and external systems, as well as some best practices for speeding up the process of data preparation and import to Wikidata, on the use case of SrpELTeC, Serbian subcollection of the ELTeC multilingual collection (European Literary Text Collection). After preliminary work on the manual Wikidata population with SrpELTeC novels, the goal was to automate the process of preparing and importing information, so different solutions were analysed and ...Milica Ikonić Nešić, Ranka Stanković, Biljana Rujević. "Serbian ELTeC Sub-Collection in Wikidata" in Infotheca, Faculty of Philology, University of Belgrade (2021). https://doi.org/10.18485/infotheca.2021.21.2.4
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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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Towards ELTeC-LLOD: European Literary Text Collection Linguistic Linked Open Data
Овај рад описује студију случаја о генерисању повезаних података креираних на основу обечежених текстуалних корпуса коришћењем формата размене података у обради природних језика (NIF). Као основа за ово истраживање послужио је подскуп корпуса ELTeC, који се састоји од 900 романа из периода 1840-1920 за 9 европских језика. Верзија романа са коментарима, у такозваном TEI level-2 формату, трансформисана је у NIF, формат заснован на RDF/OWL који има за циљ постизање интероперабилности између алата за обраду природних језика, језичких ресурса и ...Ranka Stanković, Christian Chiarcos, Miloš Utvić, Olivera Kitanović. "Towards ELTeC-LLOD: European Literary Text Collection Linguistic Linked Open Data" in LDK 2023 – 4th Conference on Language, Data and Knowledge, 12-15 September in Vienna, Austria, Lisabon : NOVA FCSH - CLUNL (2023). https://doi.org/10.34619/srmk-injj
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SrpELTeC: A Serbian Literary Corpus for Distant Reading
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 analyticsRanka Stanković, Cvetana Krstev, Duško Vitas. "SrpELTeC: A Serbian Literary Corpus for Distant Reading" in Primerjalna književnost, Research Centre of the Slovenian Academy of Sciences and Arts (2024). https://doi.org/10.3986/pkn.v47.i2.03
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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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BERT Downstream Task Analysis: Named Entity Recognition in Serbian
This paper compares different architectures and techniques for preparing named entity recognition (NER) models for the Serbian language via integrating BERT with spaCy. Models were trained to recognize seven different named entity types (persons, locations, organisations, professions, events, demonyms, and artworks), and are trained on the dataset containing Serbian novels published between 1840 and 1920, publicly available newspaper articles and sentences generated from the Wikidata knowledge base and Leximirka lexical database. We explore various configurations and several training pipelines ...Milica Ikonić Nešić, Saša Petalinkar, Mihailo Škorić, Ranka Stanković. "BERT Downstream Task Analysis: Named Entity Recognition in Serbian" in Lecture Notes in Networks and Systems, Springer Nature Switzerland (2024). https://doi.org/10.1007/978-3-031-71419-1_29
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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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Serbian NER&Beyond: The Archaic and the Modern Intertwinned
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 ...Branislava Šandrih Todorović, Cvetana Krstev, Ranka Stanković, Milica Ikonić Nešić. "Serbian NER&Beyond: The Archaic and the Modern Intertwinned" in Proceedings of the Conference Recent Advances in Natural Language Processing - Deep Learning for Natural Language Processing Methods and Applications, INCOMA Ltd. Shoumen, BULGARIA (2021). https://doi.org/10.26615/978-954-452-072-4_141
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SrpCNNeL: Serbian Model for Named Entity Linking
Ovaj rad predstavlja razvoj modela za prepoznavanje i povezivanje imenovanih entiteta (NEL) sa bazom znanja Vikipodaci za srpski jezik pod nazivom SrpCNNeL. Model je obučen da prepozna i poveže sedam različitih imenovanih tipova entiteta (osobe, lokacije, organizacije, profesije, događaji, demoni i umetnička dela) na skupu podataka koji sadrži rečenice iz romana, pravnih dokumenata, kao i rečenice generisane iz znanja Vikipodataka baza i Leksimirka leksička baza podataka. Dobijeni model je pokazao dobre performanse, postigavši F1 rezultat od 0,8 na test ...Milica Ikonić Nešić, Saša Petalinkar, Ranka Stanković, Miloš Utvić, Olivera Kitanović. "SrpCNNeL: Serbian Model for Named Entity Linking" in Annals of Computer Science and Information Systems, IEEE (2024). https://doi.org/10.15439/2024F8827
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Advancing Sentiment Analysis in Serbian Literature: A Zero and Few-Shot Learning Approach Using the Mistral Model
Ova studija predstavlja analizu sentimenta srpskih starih romana iz perioda 1840-1920, koristeći veliki jezički model (LLM) Mistral za tehniku učenja sa zasnovani na takozvanim "zero" i "few-shot" pokušajima. Glavni pristup uvodi inovacije osmišljavanjem istraživačkih upita (promptova) uključuju tekst sa uputstvom za klasifikaciju bez primera i na osnovu nekoliko primera, omogućavajući jezičkom modelu da klasifikuje osećanja u pozitivne, negativne ili objektivne kategorije. Ova metodologija ima za cilj da pojednostavi analizu osećanja ograničavanjem odgovora, čime se povećava preciznost ...Milica Ikonić Nešić, Saša Petalinkar, Mihailo Škorić, Ranka Stanković, Biljana Rujević. "Advancing Sentiment Analysis in Serbian Literature: A Zero and Few-Shot Learning Approach Using the Mistral Model" in In Proceedings of the Sixth International Conference on Computational Linguistics in Bulgaria (CLIB 2024), BAS (2024)
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The Many Faces of SrpKor
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 ...Duško Vitas, Ranka Stanković, Cvetana Krstev. "The Many Faces of SrpKor" in South Slavic Languages in the Digital Environment JuDig Book of Abstracts, University of Belgrade - Faculty of Philology, Serbia, November 21-23, 2024, University of Belgrade - Faculty of Philology (2024.)