A structured synthetic dataset of English and Italian verb alternations for testing lexical abstraction via functional lexicon in LLMs.
| Type of publication: | Book chapter |
| Citation: | Samo_LINGBUZZ_2025 |
| Booktitle: | Lingbuzz / Archive paper |
| Year: | 2025 |
| Publisher: | https://ling.auf.net/lingbuzz/009085 |
| URL: | https://ling.auf.net/lingbuzz/... |
| Abstract: | In this paper, we develop a structured dataset the investigation of lexical abstraction via functional words in LLMs, concentrating on the change-of-state (COS) and object-drop (OD) verb alternations classes in English and Italian. We present the dataset creation process and report the results of baseline experiments. |
| Main Research Program: | AI for Everyone |
| Keywords: | english, italian, LLM, neural networks, NLP, semantics, syntax, verb alternations |
| Authors: | |
| Added by: | [UNK] |
| Total mark: | 0 |
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