66 citations · 80 across the 6 of their papers we have counts for
6 papers
CLASSLA-Express: a Train of CLARIN.SI Workshops on Language Resources and Tools with Easily Expanding Route
Nikola Ljubešić, Taja Kuzman, Ivana Filipović Petrović +2
This paper introduces the CLASSLA-Express workshop series as an innovative approach to disseminating linguistic resources and infrastructure provided by the CLASSLA Knowledge Centr…
Language Models on a Diet: Cost-Efficient Development of Encoders for Closely-Related Languages via Additional Pretraining
Nikola Ljubešić, Vít Suchomel, Peter Rupnik +2
The world of language models is going through turbulent times, better and ever larger models are coming out at an unprecedented speed. However, we argue that, especially for the sc…
Do Language Models Care About Text Quality? Evaluating Web-Crawled Corpora Across 11 Languages
Rik van Noord, Taja Kuzman, Peter Rupnik +4
Large, curated, web-crawled corpora play a vital role in training language models (LMs). They form the lion's share of the training data in virtually all recent LMs, such as the we…
CLASSLA-Stanza: The Next Step for Linguistic Processing of South Slavic Languages
Luka Terčon, Nikola Ljubešić
We present CLASSLA-Stanza, a pipeline for automatic linguistic annotation of the South Slavic languages, which is based on the Stanza natural language processing pipeline. We descr…
Findings of the VarDial Evaluation Campaign 2023
Noëmi Aepli, Çağrı Çöltekin, Rob Van Der Goot +7
This report presents the results of the shared tasks organized as part of the VarDial Evaluation Campaign 2023. The campaign is part of the tenth workshop on Natural Language Proce…
ChatGPT: Beginning of an End of Manual Linguistic Data Annotation? Use Case of Automatic Genre Identification
Taja Kuzman, Igor Mozetič, Nikola Ljubešić
ChatGPT has shown strong capabilities in natural language generation tasks, which naturally leads researchers to explore where its abilities end. In this paper, we examine whether…