@inproceedings{cassotti-etal-2024-dwugs,
title = "{DWUG}s-{IT}: Extending and Standardizing Lexical Semantic Change Detection for {I}talian",
author = "Cassotti, Pierluigi and
Basile, Pierpaolo and
Tahmasebi, Nina",
editor = "Dell'Orletta, Felice and
Lenci, Alessandro and
Montemagni, Simonetta and
Sprugnoli, Rachele",
booktitle = "Proceedings of the 10th Italian Conference on Computational Linguistics (CLiC-it 2024)",
month = dec,
year = "2024",
address = "Pisa, Italy",
publisher = "CEUR Workshop Proceedings",
url = "https://aclanthology.org/2024.clicit-1.23/",
pages = "190--197",
ISBN = "979-12-210-7060-6",
abstract = "Lexical Semantic Change Detection (LSCD) is the task of determining whether a word has undergone a change in meaning over time. There has been a marked increase in interest in this task, accompanied by a corresponding growth in the scientific community involved in developing computational approaches to semantic change. In recent years, a number of resources have been made available for the evaluation of LSC models in a number of languages, including English, Swedish, German, Latin, Russian and Chinese. DIACR-ITA is the only existing resource for LSCD in Italian. However, DIACR-ITA has a different format from that used for other languages. In this paper we present DWUGs-IT, which extends the DIACR-ITA dataset with additional target words and usage-sense pair annotations and adapts it to the DURel format, including the first implementation of a LSCD graded task for Italian."
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<abstract>Lexical Semantic Change Detection (LSCD) is the task of determining whether a word has undergone a change in meaning over time. There has been a marked increase in interest in this task, accompanied by a corresponding growth in the scientific community involved in developing computational approaches to semantic change. In recent years, a number of resources have been made available for the evaluation of LSC models in a number of languages, including English, Swedish, German, Latin, Russian and Chinese. DIACR-ITA is the only existing resource for LSCD in Italian. However, DIACR-ITA has a different format from that used for other languages. In this paper we present DWUGs-IT, which extends the DIACR-ITA dataset with additional target words and usage-sense pair annotations and adapts it to the DURel format, including the first implementation of a LSCD graded task for Italian.</abstract>
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%0 Conference Proceedings
%T DWUGs-IT: Extending and Standardizing Lexical Semantic Change Detection for Italian
%A Cassotti, Pierluigi
%A Basile, Pierpaolo
%A Tahmasebi, Nina
%Y Dell’Orletta, Felice
%Y Lenci, Alessandro
%Y Montemagni, Simonetta
%Y Sprugnoli, Rachele
%S Proceedings of the 10th Italian Conference on Computational Linguistics (CLiC-it 2024)
%D 2024
%8 December
%I CEUR Workshop Proceedings
%C Pisa, Italy
%@ 979-12-210-7060-6
%F cassotti-etal-2024-dwugs
%X Lexical Semantic Change Detection (LSCD) is the task of determining whether a word has undergone a change in meaning over time. There has been a marked increase in interest in this task, accompanied by a corresponding growth in the scientific community involved in developing computational approaches to semantic change. In recent years, a number of resources have been made available for the evaluation of LSC models in a number of languages, including English, Swedish, German, Latin, Russian and Chinese. DIACR-ITA is the only existing resource for LSCD in Italian. However, DIACR-ITA has a different format from that used for other languages. In this paper we present DWUGs-IT, which extends the DIACR-ITA dataset with additional target words and usage-sense pair annotations and adapts it to the DURel format, including the first implementation of a LSCD graded task for Italian.
%U https://aclanthology.org/2024.clicit-1.23/
%P 190-197
Markdown (Informal)
[DWUGs-IT: Extending and Standardizing Lexical Semantic Change Detection for Italian](https://aclanthology.org/2024.clicit-1.23/) (Cassotti et al., CLiC-it 2024)
ACL