| Automatic genre identification: a survey T Kuzman, N Ljubešić Language Resources and Evaluation, 1-34, 2023 | 119 | 2023 |
| Neural machine translation of literary texts from English to Slovene T Kuzman, Š Vintar, M Arcan Proceedings of the qualities of literary machine translation, 1-9, 2019 | 39 | 2019 |
| Linguistically annotated multilingual comparable corpora of parliamentary debates ParlaMint. ana 2.0 T Erjavec, M Ogrodniczuk, P Osenova, N Ljubešić, K Simov, V Grigorova, ... CLARIN ERIC, 2021 | 35* | 2021 |
| ChatGPT: Beginning of an End of Manual Linguistic Data Annotation? Use Case of Automatic Genre Identification T Kuzman, I Mozetič, N Ljubešić arXiv preprint arXiv: 2303.03953, 2023 | 30* | 2023 |
| MaCoCu: Massive collection and curation of monolingual and bilingual data: focus on under-resourced languages M Banón, M Espla-Gomis, ML Forcada, C García-Romero, T Kuzman, ... 23rd Annual Conference of the European Association for Machine Translation …, 2022 | 22 | 2022 |
| Training corpus ssj500k 1.3. Slovenian language resource repository CLARIN. SI S Krek, T Erjavec, K Dobrovoljc, S Može, N Ledinek, N Holz | 20 | 2013 |
| Automatic genre identification for robust enrichment of massive text collections: Investigation of classification methods in the era of large language models T Kuzman, I Mozetič, N Ljubešić Machine Learning and Knowledge Extraction 5 (3), 1149-1175, 2023 | 15 | 2023 |
| The GINCO training dataset for web genre identification of documents out in the wild T Kuzman, P Rupnik, N Ljubešić arXiv preprint arXiv:2201.03857, 2022 | 15 | 2022 |
| CLASSLA-web: Comparable Web Corpora of South Slavic Languages Enriched with Linguistic and Genre Annotation N Ljubešić, T Kuzman arXiv preprint arXiv:2403.12721, 2024 | 8 | 2024 |
| BENCHić-lang: A benchmark for discriminating between Bosnian, Croatian, Montenegrin and Serbian P Rupnik, T Kuzman, N Ljubešić Tenth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial …, 2023 | 8 | 2023 |
| Training corpus ssj500k 1.4 S Krek, K Dobrovoljc, T Erjavec, S Može, N Ledinek, N Holz Centre for Language Resources and Technologies, University of Ljubljana, 2015 | 8 | 2015 |
| Get to know your parallel data: Performing english variety and genre classification over macocu corpora T Kuzman, P Rupnik, N Ljubešić Tenth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial …, 2023 | 7 | 2023 |
| Do Language Models Care About Text Quality? Evaluating Web-Crawled Corpora Across 11 Languages R van Noord, T Kuzman, P Rupnik, N Ljubešić, M Esplà-Gomis, ... arXiv preprint arXiv:2403.08693, 2024 | 6 | 2024 |
| Assessing comparability of genre datasets via cross-lingual and cross-dataset experiments T Kuzman, N Ljubešic, S Pollak Jezikovne tehnologije in digitalna humanistika: zbornik konference …, 2022 | 6 | 2022 |
| Verbal multiword expressions in Slovene P Gantar, S Krek, T Kuzman Computational and Corpus-Based Phraseology: Second International Conference …, 2017 | 6 | 2017 |
| ChatGPT: Beginning of an End of Manual Linguistic Data Annotation? Use Case of Automatic Genre Identification. March 7, 2023 T Kuzman, I Mozetič, N Ljubešić Reference Source, 0 | 6 | |
| Slovene-English parallel corpus MaCoCu-sl-en 2.0 M Bañón, M Chichirau, M Esplà-Gomis, ML Forcada, A Galiano-Jiménez, ... Jožef Stefan Institute, 2023 | 5 | 2023 |
| Choice of plausible alternatives dataset in Serbian COPA-SR N Ljubešić, M Starović, T Kuzman, T Samardžić Jožef Stefan Institute, 2022 | 5 | 2022 |
| Exploring the Impact of Lexical and Grammatical Features on Automatic Genre Identification T Kuzman, N Ljubešić Proceedings of the Odkrivanje Znanja in Podatkovna Skladišca—SiKDD …, 2022 | 5 | 2022 |
| Annotated Corpora and Tools of the PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions C Ramisch, SR Cordeiro, A Savary, V Vincze, V Barbu Mititelu, A Bhatia, ... LINDAT/CLARIAH-CZ Digital Library at the Institute of Formal and Applied …, 2018 | 5 | 2018 |
Nikola LjubešićResearcher at Jožef Stefan Instituteijs.si의 이메일 확인됨