Article

Evaluation of Embedding Models for Hungarian Question-Answer Retrieval on Domain-Specific and Public Benchmarks

2025-10-01

Abstract excerpt

Embedding models have become a fundamental component of modern natural language processing, yet their performance in morphologically rich, low-resource languages such as Hungarian remains underexplored. In this paper, we present a systematic evaluation of state-of-the-art embedding models for Hungarian question-answer retrieval. We construct two complementary evaluation datasets: (i) a domain-specific corpus colle...

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Literature Corpus work: 9bc54c2a-7321-5c8c-ba17-4bb096726f09
DOI: 10.22541/au.175934564.40505248/v1

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