Enriching Word Usage Graphs with Cluster Definitions
A. Kutuzov, M. Fedorova, D. Schlechtweg, und N. Arefyev. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Seite 6189--6198. Torino, Italia, ELRA and ICCL, (Mai 2024)
Zusammenfassung
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.
%0 Conference Paper
%1 kutuzov-etal-2024-enriching-word
%A Kutuzov, Andrey
%A Fedorova, Mariia
%A Schlechtweg, Dominik
%A Arefyev, Nikolay
%B Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
%C Torino, Italia
%D 2024
%E Calzolari, Nicoletta
%E Kan, Min-Yen
%E Hoste, Veronique
%E Lenci, Alessandro
%E Sakti, Sakriani
%E Xue, Nianwen
%I ELRA and ICCL
%K myown
%P 6189--6198
%T Enriching Word Usage Graphs with Cluster Definitions
%U https://aclanthology.org/2024.lrec-main.546
%X 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.
@inproceedings{kutuzov-etal-2024-enriching-word,
abstract = {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.},
added-at = {2024-06-09T17:04:48.000+0200},
address = {Torino, Italia},
author = {Kutuzov, Andrey and Fedorova, Mariia and Schlechtweg, Dominik and Arefyev, Nikolay},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/28e1d61e788d79784afbb28eea82cd1fe/dschlechtweg},
booktitle = {Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)},
editor = {Calzolari, Nicoletta and Kan, Min-Yen and Hoste, Veronique and Lenci, Alessandro and Sakti, Sakriani and Xue, Nianwen},
interhash = {a28c03de0d0cbc746788435aaf177745},
intrahash = {8e1d61e788d79784afbb28eea82cd1fe},
keywords = {myown},
month = may,
pages = {6189--6198},
publisher = {ELRA and ICCL},
timestamp = {2024-06-09T17:04:48.000+0200},
title = {Enriching Word Usage Graphs with Cluster Definitions},
url = {https://aclanthology.org/2024.lrec-main.546},
year = 2024
}
