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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 4 5...10 Hits 1 – 20 of 191 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 The CLASSLA-StanfordNLP model for lemmatisation of standard Slovenian 1.4 Ljubešić, Nikola; Krsnik, Luka. - : Jožef Stefan Institute, 2022 BASE Show details 3 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 4 The Twitter user dataset for discriminating between Bosnian, Croatian, Montenegrin and Serbian Twitter-HBS 1.0 Ljubešić, Nikola; Rupnik, Peter. - : Jožef Stefan Institute, 2022 BASE Show details 5 Summarization datasets from the KAS corpus KAS-Sum 1.0 Žagar, Aleš; Kavaš, Matic; Robnik-Šikonja, Marko; Erjavec, Tomaž; Fišer, Darja; Ljubešić, Nikola; Ferme, Marko; Borovič, Mladen; Boškovič, Borko; Ojsteršek, Milan; Hrovat, Goran. - : Faculty of Electrical Engineering and Computer Science, University of Maribor, 2022. : Faculty of Computer and Information Science, University of Ljubljana, 2022 Abstract: Summarization datasets were created from the text bodies in the KAS 2.0 corpus (http://hdl.handle.net/11356/1448) and the abstracts from the KAS-Abs 2.0 corpus (http://hdl.handle.net/11356/1449). The monolingual slo2slo dataset contains 69,730 Slovene abstracts and Slovene body texts. The cross-lingual slo2eng dataset contains 52,351 Slovene body texts and English abstracts. It is suitable for building cross-lingual summarization models. Total number of words represent the sum of words in bodies, Slovene abstracts, and English abstracts. The files are stored in the same manner as the complete KAS corpus, i.e. in 1,000 directories with the same filename prefix as in KAS. They are in the JSON format that contains chapter segmented text. In addition to a unique chapter ID, each JSON file contains a key titled “abstract” that contains a list with abstract text as its first element. The file with the metadata for the corpus texts is also included. The datasets are suitable for training monolingual Slovene summarization models and cross-lingual Slovene-English summarization models on long texts. References: Žagar, A., Kavaš, M., & Robnik Šikonja, M. (2021). Corpus KAS 2.0: cleaner and with new datasets. In Information Society - IS 2021: Proceedings of the 24th International Multiconference. https://doi.org/10.5281/zenodo.5562228 Keyword: abstracts; academic writing; BSc/BA theses; MSc/MA theses; PhD theses; text summarization URL: http://hdl.handle.net/11356/1446 BASE Hide details 6 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 7 ASR training dataset for Croatian ParlaSpeech-HR v1.0 Ljubešić, Nikola; Koržinek, Danijel; Rupnik, Peter. - : Jožef Stefan Institute, 2022 BASE Show details 8 The news dataset for discriminating between Bosnian, Croatian and Serbian SETimes.HBS 1.0 Ljubešić, Nikola; Rupnik, Peter. - : Jožef Stefan Institute, 2022 BASE Show details 9 The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Slovenian 1.3 Ljubešić, Nikola; Krsnik, Luka. - : Jožef Stefan Institute, 2022 BASE Show details 10 The GINCO Training Dataset for Web Genre Identification of Documents Out in the Wild ... Kuzman, Taja; Rupnik, Peter; Ljubešić, Nikola. - : arXiv, 2022 BASE Show details 11 Geographic Adaptation of Pretrained Language Models ... Hofmann, Valentin; Glavaš, Goran; Ljubešić, Nikola. - : arXiv, 2022 BASE Show details 12 The ParlaMint corpora of parliamentary proceedings Erjavec, Tomaž; Ogrodniczuk, Maciej; Osenova, Petya. - 2022 BASE Show details 13 Retweet communities reveal the main sources of hate speech Evkoski, Bojan; Pelicon, Andraž; Mozetič, Igor... In: PLoS One (2022) BASE Show details 14 The ParlaMint corpora of parliamentary proceedings Erjavec, Tomaž; Ogrodniczuk, Maciej; Osenova, Petya... In: Lang Resour Eval (2022) BASE Show details 15 Universal Dependencies 2.9 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 16 Universal Dependencies 2.8.1 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 17 Universal Dependencies 2.8 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 18 Choice of plausible alternatives dataset in Croatian COPA-HR Ljubešić, Nikola. - : Jožef Stefan Institute, 2021 BASE Show details 19 Croatian corpus of non-professional written language by typical speakers and speakers with language disorders RAPUT 1.0 Kuvač Kraljević, Jelena; Hržica, Gordana; Štefanec, Vanja. - : Jožef Stefan Institute, 2021. : Faculty of Education and Rehabilitation, University of Zagreb, 2021 BASE Show details 20 The Orange workflow for observing collocation trends ColTrend 1.0 Kosem, Iztok; Krek, Simon; Čibej, Jaka. - : Centre for Language Resources and Technologies, University of Ljubljana, 2021 BASE Show details Page: 1 2 3 4 5...10

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