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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| In: | URI:https://journals.openedition.org/ijcol, |
|---|---|
| Main Authors: | , , , |
| Format: | Article ou chapitre numérique |
| Language: | Anglais |
| Published: |
IJCoL
2026
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| Online Access: | Accès Université d'Orléans et IFPM |