Comparing Human and Large Language Model Perceptions of Semantic Similarity: Insights from the SimilEx Dataset

This paper investigates how human annotators and Large Language Models (LLMs) assign and justify semantic similarity judgments in a Semantic Textual Similarity (STS) task. To this end, we present a new version of SimilEx, the first Italian dataset containing human similarity judgments and natural la...

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Bibliografische gegevens

Hoofdauteurs:	Alzetta, Chiara, Dell’Orletta, Felice, Fazzone, Chiara, Venturi, Giulia
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	Accademia University Press 2026
Online toegang:	https://hdl.handle.net/20.500.13089/16nk7 https://journals.openedition.org/ijcol/2257
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