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20222024
most citedChatGPT: Beginning of an End of Manual Linguistic Data Annotation? Use Case of Automatic Genre Identification

66 citations · 80 across the 6 of their papers we have counts for

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7 papers · 1 filter

cs.CL2024

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…

cs.CL2024★ 13 cited

LLM Teacher-Student Framework for Text Classification With No Manually Annotated Data: A Case Study in IPTC News Topic Classification

Taja Kuzman, Nikola Ljubešić

With the ever-increasing number of news stories available online, classifying them by topic, regardless of the language they are written in, has become crucial for enhancing reader…

cs.CL2024

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…

cs.CL2024

CLASSLA-web: Comparable Web Corpora of South Slavic Languages Enriched with Linguistic and Genre Annotation

Nikola Ljubešić, Taja Kuzman

This paper presents a collection of highly comparable web corpora of Slovenian, Croatian, Bosnian, Montenegrin, Serbian, Macedonian, and Bulgarian, covering thereby the whole spect…

cs.CL2024★ 1 cited

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…

cs.CL2023★ 66 cited

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…