Year: 2026
Type: conference-paper
Abstract: Human judgements of word similarity have been a core benchmark for the intrinsic evaluation of word embedding models, and continue to be used for assessing the capabilities of large language models.While word similarity benchmarks have been collected for a range of languages, none existed for Greek.We develop a Modern Greek variant of the SimLex-999 word similarity dataset by gathering similarity judgements from 90 native speakers of Greek.We then use this as a benchmark for intrinsically evaluating several Greek language models.
Authors: Leonidas Mylonadis, Jelke Bloem
Institution: University of Amsterdam
Language: English
Topic: Topic Modeling
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7166557872
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