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...
Gorde:
| Egile Nagusiak: | , , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Accademia University Press
2026
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| Sarrera elektronikoa: | https://hdl.handle.net/20.500.13089/16nk7 https://journals.openedition.org/ijcol/2257 |
| Etiketak: |
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