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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 Hits 1 – 20 of 52 1 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 BASE Show details 2 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 BASE Show details 3 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 BASE Show details 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 BASE Show details 5 Bayesian BERT for Trustful Hate Speech Detection ... Miok, Kristian; Škrlj, Blaž; Zaharie, Daniela. - : Zenodo, 2022 BASE Show details 6 Bayesian BERT for Trustful Hate Speech Detection ... Miok, Kristian; Škrlj, Blaž; Zaharie, Daniela. - : Zenodo, 2022 BASE Show details 7 Bayesian BERT for Trustful Hate Speech Detection ... Miok, Kristian; Škrlj, Blaž; Zaharie, Daniela. - : Zenodo, 2022 BASE Show details 8 Slovene SuperGLUE Benchmark: Translation and Evaluation ... Žagar, Aleš; Robnik-Šikonja, Marko. - : arXiv, 2022 BASE Show details 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 BASE Show details 10 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 BASE Show details 11 Corpus of Written Standard Slovene Gigafida 2.0 Krek, Simon; Erjavec, Tomaž; Repar, Andraž. - : Centre for Language Resources and Technologies, University of Ljubljana, 2021 BASE Show details 12 List of single-word male and female occupations in Slovenian Supej, Anka; Ulčar, Matej; Robnik-Šikonja, Marko; Pollak, Senja. - : Jožef Stefan Institute, 2021. : Faculty of Computer and Information Science, University of Ljubljana, 2021 Abstract: The list of single-word occupations in Slovene is based on the Slovene Standard Classification of Occupations (https://www.uradni-list.si/glasilo-uradni-list-rs/vsebina?urlid=199728&stevilka=1641). The list includes 234 occupation pairs. For each occupation, it contains its masculine word form (e.g. fotograf), its possible synonym, its feminine equivalent (e.g. fotografka) and the corresponding synonym of the feminine form (e.g. fotografinja). The cases where no synonyms were added for a specific occupation are denoted with the label 0 (note that only synonyms with the same root are considered). Several conditions for inclusion or exclusion of an occupation to the list were applied: - Our list contains only single word occupation pairs, while the majority of the occupations in the aforementioned classification are multi-word expressions. - An occupation has to exist both in female and male grammatical gender (gender-neutral words such as pismonoša [en. postman] are not included in the list). - At least one of the variants of an occupation (masculine or feminine) occurs at least 500 times in the Corpus of Written Standard Slovene Gigafida 2.0. - The occupations that are also proper names in Slovene, e.g. kovač [en. blacksmith], were filtered out if in the Slovene Morphological Lexicon Sloleks 2.0 (Dobrovoljc et al., 2019) the proper name form exists. - Occupations that could be easily associated with a context unrelated to occupations (e.g. čarovnik/čarovnica [en. wizard/witch]) or where a male or female variant is a homograph of a common noun (e.g. detektivka [en. detective] also denotes a detective novel) were excluded from the final set of occupations. When a more established version of an occupation exists, we manually add a synonym with the same root (e.g. in the case of fotografka, an arguably more established fotografinja was added [en. photographer]). If the standard classification does not include the female (e.g. dramatik [en. playwright]) or the male version (e.g. prostitutka [en. prostitute]) of an occupation, the missing version is manually added if it exists and appears in Gigafida corpus (e.g. there are no established words for female and male versions of postrešček [en. porter] and hostesa [en. hostess]). The list of occupations can be used for different natural language processing tasks including evaluation of word embeddings models through analogies, which can point to bias in language use. If you use the dataset, please cite the following paper: SUPEJ, Anka, ULČAR, Matej, ROBNIK ŠIKONJA, Marko, POLLAK, Senja (2020). Primerjava slovenskih besednih vektorskih vložitev z vidika spola na analogijah poklicev. Zbornik konference Jezikovne tehnologije in digitalna humanistika / Proc. of the Conference on Language Technologies and Digital Humanities, p. 93-100. Keyword: gender; occupations; Slovenian language; word analogies URL: http://hdl.handle.net/11356/1347 BASE Hide details 13 SloBERTa: Slovene monolingual large pretrained masked language model ... Ulčar, Matej; Robnik-Šikonja, Marko. - : Zenodo, 2021 BASE Show details 14 Slav-NER: the 3rd Cross-lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic languages ... Piskorski, Jakub; Babych, Bogdan; Kancheva, Zara. - : Zenodo, 2021 BASE Show details 15 SloBERTa: Slovene monolingual large pretrained masked language model ... Ulčar, Matej; Robnik-Šikonja, Marko. - : Zenodo, 2021 BASE Show details 16 Unsupervised Approach to Cross-Lingual User Comments Summarization ... Žagar, Aleš; Robnik-Šikonja, Marko. - : Zenodo, 2021 BASE Show details 17 Unsupervised Approach to Cross-Lingual User Comments Summarization ... Žagar, Aleš; Robnik-Šikonja, Marko. - : Zenodo, 2021 BASE Show details 18 Slav-NER: the 3rd Cross-lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic languages ... Piskorski, Jakub; Babych, Bogdan; Kancheva, Zara. - : Zenodo, 2021 BASE Show details 19 Evaluation of contextual embeddings on less-resourced languages ... Ulčar, Matej; Žagar, Aleš; Armendariz, Carlos S.. - : arXiv, 2021 BASE Show details 20 Training dataset and dictionary sizes matter in BERT models: the case of Baltic languages ... Ulčar, Matej; Robnik-Šikonja, Marko. - : arXiv, 2021 BASE Show details Page: 1 2 3

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