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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 Hits 1 – 9 of 9 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 Slovene SuperGLUE Benchmark: Translation and Evaluation ... Žagar, Aleš; Robnik-Šikonja, Marko. - : arXiv, 2022 Abstract: We present a Slovene combined machine-human translated SuperGLUE benchmark. We describe the translation process and problems arising due to differences in morphology and grammar. We evaluate the translated datasets in several modes: monolingual, cross-lingual, and multilingual, taking into account differences between machine and human translated training sets. The results show that the monolingual Slovene SloBERTa model is superior to massively multilingual and trilingual BERT models, but these also show a good cross-lingual performance on certain tasks. The performance of Slovene models still lags behind the best English models. ... : arXiv admin note: text overlap with arXiv:2107.10614 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.2202.04994 https://arxiv.org/abs/2202.04994 BASE Hide details 6 Unsupervised Approach to Cross-Lingual User Comments Summarization ... Žagar, Aleš; Robnik-Šikonja, Marko. - : Zenodo, 2021 BASE Show details 7 Unsupervised Approach to Cross-Lingual User Comments Summarization ... Žagar, Aleš; Robnik-Šikonja, Marko. - : Zenodo, 2021 BASE Show details 8 Evaluation of contextual embeddings on less-resourced languages ... Ulčar, Matej; Žagar, Aleš; Armendariz, Carlos S.. - : arXiv, 2021 BASE Show details 9 Slovene translation of SuperGLUE Žagar, Aleš; Robnik-Šikonja, Marko; Goli, Teja. - : Faculty of Computer and Information Science, University of Ljubljana, 2020 BASE Show details

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