Enriching Word Usage Graphs with Cluster Definitions

Fuente: arXiv
Guardado en:
Detalles Bibliográficos
Autores principales: Fedorova, Mariia, Kutuzov, Andrey, Arefyev, Nikolay, Schlechtweg, Dominik
Formato: Preprint
Publicado: 2024
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866916179467042816
author Fedorova, Mariia
Kutuzov, Andrey
Arefyev, Nikolay
Schlechtweg, Dominik
author_facet Fedorova, Mariia
Kutuzov, Andrey
Arefyev, Nikolay
Schlechtweg, Dominik
contents We present a dataset of word usage graphs (WUGs), where the existing WUGs for multiple languages are enriched with cluster labels functioning as sense definitions. They are generated from scratch by fine-tuned encoder-decoder language models. The conducted human evaluation has shown that these definitions match the existing clusters in WUGs better than the definitions chosen from WordNet by two baseline systems. At the same time, the method is straightforward to use and easy to extend to new languages. The resulting enriched datasets can be extremely helpful for moving on to explainable semantic change modeling.
format Preprint
id arxiv_https___arxiv_org_abs_2403_18024
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Enriching Word Usage Graphs with Cluster Definitions
Fedorova, Mariia
Kutuzov, Andrey
Arefyev, Nikolay
Schlechtweg, Dominik
Computation and Language
We present a dataset of word usage graphs (WUGs), where the existing WUGs for multiple languages are enriched with cluster labels functioning as sense definitions. They are generated from scratch by fine-tuned encoder-decoder language models. The conducted human evaluation has shown that these definitions match the existing clusters in WUGs better than the definitions chosen from WordNet by two baseline systems. At the same time, the method is straightforward to use and easy to extend to new languages. The resulting enriched datasets can be extremely helpful for moving on to explainable semantic change modeling.
title Enriching Word Usage Graphs with Cluster Definitions
topic Computation and Language
url https://arxiv.org/abs/2403.18024