@inproceedings{giovannetti-etal-2026-extending,
title = "Extending the Semantic Layer of the {C}omp{L}-it {I}talian Lexicon: Traits, Semantic Types, and Definitions",
author = "Giovannetti, Emiliano and
Bellandi, Andrea and
Marchi, Simone and
Papini, Mafalda",
editor = "Piperidis, Stelios and
Bel, N{\'u}ria and
van den Heuvel, Henk and
Ide, Nancy and
Krek, Simon and
Toral, Antonio",
booktitle = "Proceedings of the Fifteenth Language Resources and Evaluation Conference",
month = may,
year = "2026",
address = "Palma de Mallorca, Spain",
publisher = "ELRA Language Resource Association",
url = "https://aclanthology.org/2026.lrec-1.624/",
doi = "10.63317/3rvf2vbt4ier",
pages = "7857--7866",
abstract = "The growing impact of Large Language Models has highlighted the need for explicit, interpretable linguistic knowledge. Lexical resources respond to this need by offering structured representations that complement and constrain the implicit semantics of neural models. This paper presents an extension of CompL-it, currently the most comprehensive open computational lexicon of Italian. Building on the semantic layer inherited from LexicO{---}itself derived from the PAROLE-SIMPLE-CLIPS resource{---}the work enriches CompL-it with semantic traits and references to semantic types. Moreover, an experiment was conducted to generate missing definitions through an automatic process supported by LLMs. The resulting resource thus combines human-curated and machine-extended knowledge, ensuring both linguistic precision and scalability. This enriched semantic layer enhances CompL-it{'}s interoperability within the Linguistic Linked Data framework and strengthens its usability for NLP tasks such as word sense disambiguation, semantic role labelling, and knowledge grounding."
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%0 Conference Proceedings
%T Extending the Semantic Layer of the CompL-it Italian Lexicon: Traits, Semantic Types, and Definitions
%A Giovannetti, Emiliano
%A Bellandi, Andrea
%A Marchi, Simone
%A Papini, Mafalda
%Y Piperidis, Stelios
%Y Bel, Núria
%Y van den Heuvel, Henk
%Y Ide, Nancy
%Y Krek, Simon
%Y Toral, Antonio
%S Proceedings of the Fifteenth Language Resources and Evaluation Conference
%D 2026
%8 May
%I ELRA Language Resource Association
%C Palma de Mallorca, Spain
%F giovannetti-etal-2026-extending
%X The growing impact of Large Language Models has highlighted the need for explicit, interpretable linguistic knowledge. Lexical resources respond to this need by offering structured representations that complement and constrain the implicit semantics of neural models. This paper presents an extension of CompL-it, currently the most comprehensive open computational lexicon of Italian. Building on the semantic layer inherited from LexicO—itself derived from the PAROLE-SIMPLE-CLIPS resource—the work enriches CompL-it with semantic traits and references to semantic types. Moreover, an experiment was conducted to generate missing definitions through an automatic process supported by LLMs. The resulting resource thus combines human-curated and machine-extended knowledge, ensuring both linguistic precision and scalability. This enriched semantic layer enhances CompL-it’s interoperability within the Linguistic Linked Data framework and strengthens its usability for NLP tasks such as word sense disambiguation, semantic role labelling, and knowledge grounding.
%R 10.63317/3rvf2vbt4ier
%U https://aclanthology.org/2026.lrec-1.624/
%U https://doi.org/10.63317/3rvf2vbt4ier
%P 7857-7866
Markdown (Informal)
[Extending the Semantic Layer of the CompL-it Italian Lexicon: Traits, Semantic Types, and Definitions](https://aclanthology.org/2026.lrec-1.624/) (Giovannetti et al., LREC 2026)
ACL