@inproceedings{augello-mccrae-2025-inferring,
title = "Inferring Adjective Hypernyms with Language Models to Increase the Connectivity of {O}pen {E}nglish {W}ordnet",
author = "Augello, Lorenzo and
McCrae, John Philip",
editor = "Gkirtzou, Katerina and
{\v{Z}}itnik, Slavko and
Gracia, Jorge and
Gromann, Dagmar and
di Buono, Maria Pia and
Monti, Johanna and
Ionov, Maxim",
booktitle = "Proceedings of the 5th Conference on Language, Data and Knowledge: The 5th OntoLex Workshop",
month = sep,
year = "2025",
address = "Naples, Italy",
publisher = "Unior Press",
url = "https://aclanthology.org/2025.ontolex-1.1/",
pages = "1--11",
ISBN = "978-88-6719-334-9",
abstract = "Open English Wordnet is a key resource published in OntoLex-lemon as part of the linguistic linked open data cloud. There are, however, many links missing in the resource, and in this paper, we look at how we can establish hyper-ymy between adjectives. We present a theoretical discussion of the hypernymy relation and how it differs for adjectives in contrast to nouns and verbs. We develop a new resource for adjective hypernymy and fine-tune large language models to predict adjective hypernymy, showing that the methodology of TaxoLLaMa can be adapted to this task."
}
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<abstract>Open English Wordnet is a key resource published in OntoLex-lemon as part of the linguistic linked open data cloud. There are, however, many links missing in the resource, and in this paper, we look at how we can establish hyper-ymy between adjectives. We present a theoretical discussion of the hypernymy relation and how it differs for adjectives in contrast to nouns and verbs. We develop a new resource for adjective hypernymy and fine-tune large language models to predict adjective hypernymy, showing that the methodology of TaxoLLaMa can be adapted to this task.</abstract>
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%0 Conference Proceedings
%T Inferring Adjective Hypernyms with Language Models to Increase the Connectivity of Open English Wordnet
%A Augello, Lorenzo
%A McCrae, John Philip
%Y Gkirtzou, Katerina
%Y Žitnik, Slavko
%Y Gracia, Jorge
%Y Gromann, Dagmar
%Y di Buono, Maria Pia
%Y Monti, Johanna
%Y Ionov, Maxim
%S Proceedings of the 5th Conference on Language, Data and Knowledge: The 5th OntoLex Workshop
%D 2025
%8 September
%I Unior Press
%C Naples, Italy
%@ 978-88-6719-334-9
%F augello-mccrae-2025-inferring
%X Open English Wordnet is a key resource published in OntoLex-lemon as part of the linguistic linked open data cloud. There are, however, many links missing in the resource, and in this paper, we look at how we can establish hyper-ymy between adjectives. We present a theoretical discussion of the hypernymy relation and how it differs for adjectives in contrast to nouns and verbs. We develop a new resource for adjective hypernymy and fine-tune large language models to predict adjective hypernymy, showing that the methodology of TaxoLLaMa can be adapted to this task.
%U https://aclanthology.org/2025.ontolex-1.1/
%P 1-11
Markdown (Informal)
[Inferring Adjective Hypernyms with Language Models to Increase the Connectivity of Open English Wordnet](https://aclanthology.org/2025.ontolex-1.1/) (Augello & McCrae, ontolex 2025)
ACL