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...
Αποθηκεύτηκε σε:
| Κύριοι συγγραφείς: | , , , |
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| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
Accademia University Press
2026
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| Διαθέσιμο Online: | https://hdl.handle.net/20.500.13089/16nk7 https://journals.openedition.org/ijcol/2257 |
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