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Abstracts from the KAS corpus KAS-Abs 2.0
Žagar, Aleš; Kavaš, Matic; Robnik-Šikonja, Marko. - : Faculty of Electrical Engineering and Computer Science, University of Maribor, 2022. : Faculty of Computer and Information Science, University of Ljubljana, 2022
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Corpus of academic Slovene KAS 2.0
Žagar, Aleš; Kavaš, Matic; Robnik-Šikonja, Marko. - : Faculty of Electrical Engineering and Computer Science, University of Maribor, 2022. : Faculty of Computer and Information Science, University of Ljubljana, 2022
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Summarization datasets from the KAS corpus KAS-Sum 1.0
Žagar, Aleš; Kavaš, Matic; Robnik-Šikonja, Marko. - : Faculty of Electrical Engineering and Computer Science, University of Maribor, 2022. : Faculty of Computer and Information Science, University of Ljubljana, 2022
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4
Machine Translation datasets from the KAS corpus KAS-MT 1.0
Žagar, Aleš; Kavaš, Matic; Robnik-Šikonja, Marko. - : Faculty of Electrical Engineering and Computer Science, University of Maribor, 2022. : Faculty of Computer and Information Science, University of Ljubljana, 2022
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5
Bayesian BERT for Trustful Hate Speech Detection ...
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Bayesian BERT for Trustful Hate Speech Detection ...
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Bayesian BERT for Trustful Hate Speech Detection ...
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Slovene SuperGLUE Benchmark: Translation and Evaluation ...
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9
Valency lexicon extracted from the Gigafida 2.1 corpus
Krek, Simon; Gantar, Polona; Krsnik, Luka. - : Centre for Language Resources and Technologies, University of Ljubljana, 2021
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Multiword Expressions lexicon extracted from the Gigafida 2.1 corpus
Krek, Simon; Gantar, Apolonija; Laskowski, Cyprian. - : Centre for Language Resources and Technologies, University of Ljubljana, 2021
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11
Corpus of Written Standard Slovene Gigafida 2.0
Abstract: Gigafida 2.0, with about 1.1 billion words, is a reference corpus of written Slovene text published in the period 1990-2018. It is comprised of daily news, magazines, a selection of web texts (a certain portion of which covers news texts as well), and different types of publications (fiction, school books, and non-fiction). The texts have been selected and automatically processed with the aim of creating a corpus that represents a sample of modern standard Slovene and can be used for research in linguistics and other branches of the humanities, for compiling modern dictionaries, grammars, and learning materials, as well as for developing language technologies for Slovene. Gigafida 2.0 is an upgraded version of the Gigafida corpus (Logar et al. 2012), which was made publicly available in 2012 at www.gigafida.net. Unlike its predecessor, Gigafida 2.0 is a corpus of standard Slovene, as the majority of texts containing non-standard language features (such as user comments from news forums, etc.) was removed during the upgrade. Other improvements include the removal of duplicate texts and text fragments, an improved automatic linguistic tagging, and several new features in the interface design. All of the above is described in more detail in the corpus specifications (https://www.cjvt.si/gigafida/wp-content/uploads/sites/10/2019/06/Gigafida2.0_specifikacije.pdf). The Gigafida 2.0 corpus is comprised predominantly of newspapers, internet texts, and magazines. The texts published after the release of the first version of the corpus (2012–2018) represent approximately 27% of the new corpus. For linguistic research, the entire corpus is freely accessible online in the NoSketchEngine and Kontext concordancers, as well as the commercial SketchEngine tool. References: Simon Krek, Špela Arhar Holdt, Tomaž Erjavec, Jaka Čibej, Andraz Repar, Polona Gantar, Nikola Ljubešić, Iztok Kosem and Kaja Dobrovoljc. Gigafida 2.0: The Reference Corpus of Written Standard Slovene. Proceedings of The 12th Language Resources and Evaluation Conference. Marseille, May 2020. https://www.aclweb.org/anthology/2020.lrec-1.409/ LOGAR BERGINC, Nataša, GRČAR, Miha, BRAKUS, Marko, ERJAVEC, Tomaž, ARHAR HOLDT, Špela and KREK, Simon. Korpusi slovenskega jezika Gigafida, KRES, ccGigafida in ccKRES: gradnja, vsebina, uporaba. Ljubljana: Trojina, zavod za uporabno slovenistiko; Fakulteta za družbene vede, 2012.
Keyword: lemmatisation; morphosyntactic tags; reference corpus; representative corpus; standard language
URL: http://hdl.handle.net/11356/1320
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12
List of single-word male and female occupations in Slovenian
Supej, Anka; Ulčar, Matej; Robnik-Šikonja, Marko. - : Jožef Stefan Institute, 2021. : Faculty of Computer and Information Science, University of Ljubljana, 2021
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SloBERTa: Slovene monolingual large pretrained masked language model ...
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Slav-NER: the 3rd Cross-lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic languages ...
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SloBERTa: Slovene monolingual large pretrained masked language model ...
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Unsupervised Approach to Cross-Lingual User Comments Summarization ...
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Unsupervised Approach to Cross-Lingual User Comments Summarization ...
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Slav-NER: the 3rd Cross-lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic languages ...
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Evaluation of contextual embeddings on less-resourced languages ...
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Training dataset and dictionary sizes matter in BERT models: the case of Baltic languages ...
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