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53 Research products

  • 2014-2023
  • Open Access
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  • Croatian
  • Digital Humanities and Cultural Heritage

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Poslon, Andrea;

    The subject of this graduate thesis is the constitutional protection of cultural property. At the very beginning, we are talking about the constitutional complaint, the deadline for bringing the lawsuit, etc. The fundamental law that governs the issue of cultural property is the Law on the protection and preservation of cultural property. In order to get a broader picture of how to protect cultural property, it is necessary to mention other regulations that are key to cultural property, so in addition to the basic law, the Constitution of the Republic of Croatia, which guarantees the preservation and protection of cultural property, is also important. Equally important is the Law on spatial planning, which in its spatial planning objectives also states the protection of cultural assets and values. And finally, judicial practice is very important to us, which is an indicator of the implementation of the constitutional protection of cultural property. Tema ovoga diplomskoga rada je ustavnosudska zaštita kulturnih dobara. U samom početku govorimo o ustavnoj tužbi, o roku za donošenje tužbe itd. Temeljni zakon koji uređuje pitanje kulturnih dobara je Zakon o zaštiti i očuvanju kulturnih dobara. Kako bismo dobili neku širu sliku u tome kako zaštititi kulturna dobra potrebno je navesti i druge propise koji su ključni za kulturna dobra, pa pored temeljnog zakona je bitan i Ustav Republike Hrvatske koji jamči očuvanje i zaštitu kulturnih dobara. Isto tako je bitan i Zakon o prostornom uređenju koji u svojim ciljevima prostornog uređenja također navodi zaštitu kulturnih dobara i vrijednosti. Sudska praksa je dobar pokazatelj provođenja ustavnosudske zaštite kulturnih dobara.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Repository Faculty o...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Repository Faculty o...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Sekelj, Sanja;

    Focusing on the period between 1994 and 2006, this study of the Soros Foundation and its spin-offs employs a mixed-method approach to explore the structure of the visual arts’ scene in Croatia and the role of Soros’ organisations within it. Based on a quantitative analysis of network visualisations and a qualitative structural analysis of narrative interviews, which are theoretically framed around the notions of network and complexity, the article moves the research agenda away from assumptions about what Soros’ organisations were supposed to be, to a more embedded understanding of what they actually were in a specific space-time. The analysis foregrounds varying strategies and trajectories of Soros’ Croatia-based organisations. It demonstrates that they served mostly to maintain continuity with the socialist period during the 1990s, while real structural change, at least partially due to Soros’ influence, happened only after 1999 with the emergence of the independent cultural scene. The dataset was partially constructed as part of the PhD research “Digital Art History and Artists’ Networks in Croatia in the 1990s and 2000s”. It includes data from four periodicals published in Croatia between 1991 and 2006 (Kontura, Arkzin, Vijenac, and Zarez). The first dataset included all of the periodical issues and authors of texts, while the second one included all of the art critics and the artists / cultural institutions they mentioned in art criticism. This was expanded in the present article with the addition of the relation ‘co-mention in contribution’, in which two institutions are connected if they were mentioned in the same contribution of a periodical. Both the mentioned PhD and article, give a more detailed explanation on how the dataset was constructed.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Institute of Art His...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Institute of Art His...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Ljubešić, Nikola; Samardžić, Tanja;

    The hr500k training corpus contains about 500,000 tokens manually annotated on the levels of tokenisation, sentence segmentation, morphosyntactic tagging, lemmatisation and named entities. About half of the corpus is also manually annotated with syntactic dependencies. A subset of the syntactically annotated corpus is also annotated for multi-word expressions. Furthermore, about a fifth of the corpus is annotated with semantic role labels. The annotation formalisms followed in the hr500k corpus are (1) the MULTEXT-East V6 morphosyntactic specifications for the Serbo-Croatian macro-language, https://nl.ijs.si/ME/V6/msd/, (2) the UDv2 Guidelines, http://universaldependencies.org/guidelines.html, (3) the Janes annotation guidelines for named entities, https://nl.ijs.si/janes/wp-content/uploads/2017/09/SlovenianNER-eng-v1.1.pdf, (4) the PARSEME guidelines for annotating multi-word expressions, https://parsemefr.lis-lab.fr/parseme-st-guidelines/1.3/ and (4) the semantic role labelling annotation protocol for Slovenian and Croatian, https://www.sdjt.si/wp/wp-content/uploads/2018/09/JTDH-2018_Gantar-et-al_Towards-Semantic-Role-Labeling-in-Slovene-and-Croatian.pdf. Different to the previous version of the dataset, it is now encoded in the conllup format, as are other linguistic training datasets for Croatian and Serbian. The PARSEME multi-word expression annotation layer was added as well, together with countless corrections of labels on all available levels. The continuous improvement of this dataset is led by the CLASSLA knowledge centre for South Slavic languages (https://www.clarin.si/info/k-centre/) and the ReLDI Centre Belgrade (https://reldi.spur.uzh.ch).

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CLARIN.SI repositoryarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Terčon, Luka; Ljubešić, Nikola;

    The model for UD dependency parsing of standard Croatian was built with the CLASSLA-Stanza tool (https://github.com/clarinsi/classla) by training on the UD-parsed portion of the hr500k training corpus (http://hdl.handle.net/11356/1792) and using the CLARIN.SI-embed.hr word embeddings (http://hdl.handle.net/11356/1790). The estimated LAS of the parser is ~87.46. The difference to the previous version of the model is that this version was trained using the new version of the hr500k corpus and the new version of the Croatian word embeddings.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CLARIN.SI repositoryarrow_drop_down
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Ljubešić, Nikola; Erjavec, Tomaž; Batanović, Vuk; Miličević, Maja; +1 Authors

    ReLDI-NormTagNER-hr 3.0 is a manually annotated corpus of Croatian tweets. It is meant as a gold-standard training and testing dataset for tokenisation, sentence segmentation, word normalisation, morphosyntactic tagging, lemmatisation and named entity recognition of non-standard Croatian. Each tweet is also annotated for its automatically assigned standardness levels (T = technical standardness, L = linguistic standardness). This version of the dataset has various annotation errors corrected and the dataset encoded in the CoNLL-U-Plus format, similar to other manually annotated linguistic datasets for Croatian and Serbian. The continuous improvement of this dataset is led by the CLASSLA knowledge centre for South Slavic languages (https://www.clarin.si/info/k-centre/) and the ReLDI Centre Belgrade (https://reldi.spur.uzh.ch).

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CLARIN.SI repositoryarrow_drop_down
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Terčon, Luka; Ljubešić, Nikola;

    The model for morphosyntactic annotation of standard Croatian was built with the CLASSLA-Stanza tool (https://github.com/clarinsi/classla) by training on the hr500k training corpus (http://hdl.handle.net/11356/1792) and using the CLARIN.SI-embed.hr word embeddings (http://hdl.handle.net/11356/1790). The model produces simultaneously UPOS, FEATS and XPOS (MULTEXT-East) labels. The estimated F1 of the XPOS annotations is ~94.87. The difference to the previous version of the model is that this version was trained using the new version of the hr500k corpus and the new version of the Croatian word embeddings.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CLARIN.SI repositoryarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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    Authors: Terčon, Luka; Ljubešić, Nikola; Štefanec, Vanja;

    The model for lemmatisation of non-standard Croatian was built with the CLASSLA-Stanza tool (https://github.com/clarinsi/classla) by training on the hr500k training corpus (http://hdl.handle.net/11356/1792) and the ReLDI-NormTagNER-hr corpus (http://hdl.handle.net/11356/1793), using the hrLex inflectional lexicon (http://hdl.handle.net/11356/1232). These corpora were additionally augmented for handling missing diacritics by repeating parts of the corpora with diacritics removed. The estimated F1 of the lemma annotations is ~94.23. The difference to the previous version of the model is that this version is trained on a combination of two corpora (hr500k, ReLDI-NormTagNER-hr).

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CLARIN.SI repositoryarrow_drop_down
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    Authors: Terčon, Luka; Ljubešić, Nikola; Štefanec, Vanja;

    This model for morphosyntactic annotation of non-standard Croatian was built with the CLASSLA-Stanza tool (https://github.com/clarinsi/classla) by training on the hr500k training corpus (http://hdl.handle.net/11356/1792) and the ReLDI-NormTagNER-hr corpus (http://hdl.handle.net/11356/1793), using the CLARIN.SI-embed.hr word embeddings (http://hdl.handle.net/11356/1790). These corpora were additionally augmented for handling missing diacritics by repeating parts of the corpora with diacritics removed. The model produces simultaneously UPOS, FEATS and XPOS (MULTEXT-East) labels. The estimated F1 of the XPOS annotations is ~92.49. The difference to the previous version of the model is that this version uses the new version of Croatian word embeddings and is trained on a combination of two datasets (hr500k, ReLDI-NormTagNER-hr).

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CLARIN.SI repositoryarrow_drop_down
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    Authors: Terčon, Luka; Ljubešić, Nikola;

    The model for lemmatisation of standard Croatian was built with the CLASSLA-Stanza tool (https://github.com/clarinsi/classla) by training on the hr500k training corpus (http://hdl.handle.net/11356/1792) and using the hrLex inflectional lexicon (http://hdl.handle.net/11356/1232). The estimated F1 of the lemma annotations is ~98.02. The difference to the previous version is that this version was trained on the new version of the hr500k corpus.

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Bañón, Marta; Chichirau, Malina; Esplà-Gomis, Miquel; Forcada, Mikel L.; +11 Authors

    The Croatian-English parallel corpus MaCoCu-hr-en 2.0 was built by crawling the “.hr” internet top-level domain in 2021 and 2022, extending the crawl dynamically to other domains as well. All the crawling process was carried out by the MaCoCu crawler (https://github.com/macocu/MaCoCu-crawler). Websites containing documents in both target languages were identified and processed using the tool Bitextor (https://github.com/bitextor/bitextor). Considerable effort was devoted into cleaning the extracted text to provide a high-quality parallel corpus. This was achieved by removing boilerplate and near-duplicated paragraphs and documents that are not in one of the targeted languages. Document and segment alignment as implemented in Bitextor were carried out, and Bifixer (https://github.com/bitextor/bifixer) and BicleanerAI (https://github.com/bitextor/bicleaner-ai) were used for fixing, cleaning, and deduplicating the final version of the corpus. The corpus is available in three formats: two sentence-level formats, TXT and TMX, and a document-level TXT format. TMX is an XML-based format and TXT is a tab-separated format. They both consist of pairs of source and target segments (one or several sentences) and additional metadata. The following metadata is included in both sentence-level formats: - source and target document URL; - paragraph ID which includes information on the position of the sentence in the paragraph and in the document (e.g., “p35:77s1/3” which means “paragraph 35 out of 77, sentence 1 out of 3”); - quality score as provided by the tool Bicleaner AI (a likelihood of a pair of sentences being mutual translations, provided with a score between 0 and 1); - similarity score as provided by the sentence alignment tool Bleualign (value between 0 and 1); - personal information identification (“biroamer-entities-detected”): segments containing personal information are flagged, so final users of the corpus can decide whether to use these segments; - translation direction and machine translation identification (“translation-direction”): the source segment in each segment pair was identified by using a probabilistic model (https://github.com/RikVN/TranslationDirection), which also determines if the translation has been produced by a machine-translation system; - a DSI class (“dsi”): information whether the segment is connected to any of Digital Service Infrastructure (DSI) classes (e.g., cybersecurity, e-health, e-justice, open-data-portal), defined by the Connecting Europe Facility (https://github.com/RikVN/DSI); - English language variant: the language variant of English (British or American, using a lexicon-based English variety classifier - https://pypi.org/project/abclf/) was identified on document and domain level. Furthermore, the sentence-level TXT format provides additional metadata: - web domain of the text; - source and target document title; - the date when the original file was retrieved; - the original type of the file (e.g., “html”), from which the sentence was extracted; - paragraph quality (labels, such as “short” or “good”, assigned based on paragraph length, URL and stopword density via the jusText tool - https://corpus.tools/wiki/Justext); - information whether the sentence is a heading or not in the original document. The document-level TXT format provides pairs of documents identified to contain parallel data. In addition to the parallel documents (in base64 format), the corpus includes the following metadata: source and target document URL, a DSI category and the English language variant (British or American). As opposed to the previous version, this version has more accurate metadata on languages of the texts, which was achieved by using Google's Compact Language Detector 2 (CLD2) (https://github.com/CLD2Owners/cld2), a high-performance language detector supporting many languages. Other tools, used for web corpora creation and curation, have been updated as well, resulting in an even cleaner corpus. The new version also provides additional metadata, such as the position of the sentence in the paragraph and document, and information whether the sentence is related to a DSI. Moreover, the corpus is now also provided in a document-level format. Notice and take down: Should you consider that our data contains material that is owned by you and should therefore not be reproduced here, please: (1) Clearly identify yourself, with detailed contact data such as an address, telephone number or email address at which you can be contacted. (2) Clearly identify the copyrighted work claimed to be infringed. (3) Clearly identify the material that is claimed to be infringing and information reasonably sufficient in order to allow us to locate the material. (4) Please write to the contact person for this resource whose email is available in the full item record. We will comply with legitimate requests by removing the affected sources from the next release of the corpus. This action has received funding from the European Union's Connecting Europe Facility 2014-2020 - CEF Telecom, under Grant Agreement No. INEA/CEF/ICT/A2020/2278341. This communication reflects only the author’s view. The Agency is not responsible for any use that may be made of the information it contains.

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Poslon, Andrea;

    The subject of this graduate thesis is the constitutional protection of cultural property. At the very beginning, we are talking about the constitutional complaint, the deadline for bringing the lawsuit, etc. The fundamental law that governs the issue of cultural property is the Law on the protection and preservation of cultural property. In order to get a broader picture of how to protect cultural property, it is necessary to mention other regulations that are key to cultural property, so in addition to the basic law, the Constitution of the Republic of Croatia, which guarantees the preservation and protection of cultural property, is also important. Equally important is the Law on spatial planning, which in its spatial planning objectives also states the protection of cultural assets and values. And finally, judicial practice is very important to us, which is an indicator of the implementation of the constitutional protection of cultural property. Tema ovoga diplomskoga rada je ustavnosudska zaštita kulturnih dobara. U samom početku govorimo o ustavnoj tužbi, o roku za donošenje tužbe itd. Temeljni zakon koji uređuje pitanje kulturnih dobara je Zakon o zaštiti i očuvanju kulturnih dobara. Kako bismo dobili neku širu sliku u tome kako zaštititi kulturna dobra potrebno je navesti i druge propise koji su ključni za kulturna dobra, pa pored temeljnog zakona je bitan i Ustav Republike Hrvatske koji jamči očuvanje i zaštitu kulturnih dobara. Isto tako je bitan i Zakon o prostornom uređenju koji u svojim ciljevima prostornog uređenja također navodi zaštitu kulturnih dobara i vrijednosti. Sudska praksa je dobar pokazatelj provođenja ustavnosudske zaštite kulturnih dobara.

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    Authors: Sekelj, Sanja;

    Focusing on the period between 1994 and 2006, this study of the Soros Foundation and its spin-offs employs a mixed-method approach to explore the structure of the visual arts’ scene in Croatia and the role of Soros’ organisations within it. Based on a quantitative analysis of network visualisations and a qualitative structural analysis of narrative interviews, which are theoretically framed around the notions of network and complexity, the article moves the research agenda away from assumptions about what Soros’ organisations were supposed to be, to a more embedded understanding of what they actually were in a specific space-time. The analysis foregrounds varying strategies and trajectories of Soros’ Croatia-based organisations. It demonstrates that they served mostly to maintain continuity with the socialist period during the 1990s, while real structural change, at least partially due to Soros’ influence, happened only after 1999 with the emergence of the independent cultural scene. The dataset was partially constructed as part of the PhD research “Digital Art History and Artists’ Networks in Croatia in the 1990s and 2000s”. It includes data from four periodicals published in Croatia between 1991 and 2006 (Kontura, Arkzin, Vijenac, and Zarez). The first dataset included all of the periodical issues and authors of texts, while the second one included all of the art critics and the artists / cultural institutions they mentioned in art criticism. This was expanded in the present article with the addition of the relation ‘co-mention in contribution’, in which two institutions are connected if they were mentioned in the same contribution of a periodical. Both the mentioned PhD and article, give a more detailed explanation on how the dataset was constructed.

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    Authors: Ljubešić, Nikola; Samardžić, Tanja;

    The hr500k training corpus contains about 500,000 tokens manually annotated on the levels of tokenisation, sentence segmentation, morphosyntactic tagging, lemmatisation and named entities. About half of the corpus is also manually annotated with syntactic dependencies. A subset of the syntactically annotated corpus is also annotated for multi-word expressions. Furthermore, about a fifth of the corpus is annotated with semantic role labels. The annotation formalisms followed in the hr500k corpus are (1) the MULTEXT-East V6 morphosyntactic specifications for the Serbo-Croatian macro-language, https://nl.ijs.si/ME/V6/msd/, (2) the UDv2 Guidelines, http://universaldependencies.org/guidelines.html, (3) the Janes annotation guidelines for named entities, https://nl.ijs.si/janes/wp-content/uploads/2017/09/SlovenianNER-eng-v1.1.pdf, (4) the PARSEME guidelines for annotating multi-word expressions, https://parsemefr.lis-lab.fr/parseme-st-guidelines/1.3/ and (4) the semantic role labelling annotation protocol for Slovenian and Croatian, https://www.sdjt.si/wp/wp-content/uploads/2018/09/JTDH-2018_Gantar-et-al_Towards-Semantic-Role-Labeling-in-Slovene-and-Croatian.pdf. Different to the previous version of the dataset, it is now encoded in the conllup format, as are other linguistic training datasets for Croatian and Serbian. The PARSEME multi-word expression annotation layer was added as well, together with countless corrections of labels on all available levels. The continuous improvement of this dataset is led by the CLASSLA knowledge centre for South Slavic languages (https://www.clarin.si/info/k-centre/) and the ReLDI Centre Belgrade (https://reldi.spur.uzh.ch).

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Terčon, Luka; Ljubešić, Nikola;

    The model for UD dependency parsing of standard Croatian was built with the CLASSLA-Stanza tool (https://github.com/clarinsi/classla) by training on the UD-parsed portion of the hr500k training corpus (http://hdl.handle.net/11356/1792) and using the CLARIN.SI-embed.hr word embeddings (http://hdl.handle.net/11356/1790). The estimated LAS of the parser is ~87.46. The difference to the previous version of the model is that this version was trained using the new version of the hr500k corpus and the new version of the Croatian word embeddings.

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Ljubešić, Nikola; Erjavec, Tomaž; Batanović, Vuk; Miličević, Maja; +1 Authors

    ReLDI-NormTagNER-hr 3.0 is a manually annotated corpus of Croatian tweets. It is meant as a gold-standard training and testing dataset for tokenisation, sentence segmentation, word normalisation, morphosyntactic tagging, lemmatisation and named entity recognition of non-standard Croatian. Each tweet is also annotated for its automatically assigned standardness levels (T = technical standardness, L = linguistic standardness). This version of the dataset has various annotation errors corrected and the dataset encoded in the CoNLL-U-Plus format, similar to other manually annotated linguistic datasets for Croatian and Serbian. The continuous improvement of this dataset is led by the CLASSLA knowledge centre for South Slavic languages (https://www.clarin.si/info/k-centre/) and the ReLDI Centre Belgrade (https://reldi.spur.uzh.ch).

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    Data sources: B2FIND
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CLARIN.SI repositoryarrow_drop_down
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      CLARIN.SI repository
      Other ORP type . 2023
      Data sources: B2FIND
      addClaim

      This Research product is the result of merged Research products in OpenAIRE.

      You have already added works in your ORCID record related to the merged Research product.
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Terčon, Luka; Ljubešić, Nikola;

    The model for morphosyntactic annotation of standard Croatian was built with the CLASSLA-Stanza tool (https://github.com/clarinsi/classla) by training on the hr500k training corpus (http://hdl.handle.net/11356/1792) and using the CLARIN.SI-embed.hr word embeddings (http://hdl.handle.net/11356/1790). The model produces simultaneously UPOS, FEATS and XPOS (MULTEXT-East) labels. The estimated F1 of the XPOS annotations is ~94.87. The difference to the previous version of the model is that this version was trained using the new version of the hr500k corpus and the new version of the Croatian word embeddings.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CLARIN.SI repositoryarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    CLARIN.SI repository
    Other ORP type . 2023
    Data sources: B2FIND
    addClaim

    This Research product is the result of merged Research products in OpenAIRE.

    You have already added works in your ORCID record related to the merged Research product.
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CLARIN.SI repositoryarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      CLARIN.SI repository
      Other ORP type . 2023
      Data sources: B2FIND
      addClaim

      This Research product is the result of merged Research products in OpenAIRE.

      You have already added works in your ORCID record related to the merged Research product.
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Terčon, Luka; Ljubešić, Nikola; Štefanec, Vanja;

    The model for lemmatisation of non-standard Croatian was built with the CLASSLA-Stanza tool (https://github.com/clarinsi/classla) by training on the hr500k training corpus (http://hdl.handle.net/11356/1792) and the ReLDI-NormTagNER-hr corpus (http://hdl.handle.net/11356/1793), using the hrLex inflectional lexicon (http://hdl.handle.net/11356/1232). These corpora were additionally augmented for handling missing diacritics by repeating parts of the corpora with diacritics removed. The estimated F1 of the lemma annotations is ~94.23. The difference to the previous version of the model is that this version is trained on a combination of two corpora (hr500k, ReLDI-NormTagNER-hr).

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CLARIN.SI repositoryarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    CLARIN.SI repository
    Other ORP type . 2023
    Data sources: B2FIND
    addClaim

    This Research product is the result of merged Research products in OpenAIRE.

    You have already added works in your ORCID record related to the merged Research product.