Aleš Žagar — accepted AI-conference papers

2024

SENTA: Sentence Simplification System for Slovene

Aleš Žagar, Matej Klemen, Marko Robnik-Šikonja, Iztok Kosem

COLING 2024main

Ensuring universal access to written content, regardless of users’ language proficiency and cognitive abilities, is of paramount importance. Sentence simplification, which involves converting complex sentences into more accessible forms while preserving their meaning, plays a crucial role in enhanci…

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2024

SI-NLI: A Slovene Natural Language Inference Dataset and Its Evaluation

Matej Klemen, Aleš Žagar, Jaka Čibej, Marko Robnik-Šikonja

COLING 2024main

Natural language inference (NLI) is an important language understanding benchmark. Two deficiencies of this benchmark are: i) most existing NLI datasets exist for English and a few other well-resourced languages, and ii) most NLI datasets are formed with a narrow set of annotators’ instructions, all…

Cited by 3 Source ↗PDF ↗code ↗Scholar ↗