Similarity-Based Cluster Merging for Semantic Change Modeling
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F24%3A10492852" target="_blank" >RIV/00216208:11320/24:10492852 - isvavai.cz</a>
Result on the web
<a href="https://aclanthology.org/2024.lchange-1.3/" target="_blank" >https://aclanthology.org/2024.lchange-1.3/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.18653/v1/2024.lchange-1.3" target="_blank" >10.18653/v1/2024.lchange-1.3</a>
Alternative languages
Result language
angličtina
Original language name
Similarity-Based Cluster Merging for Semantic Change Modeling
Original language description
This paper describes our contribution to Subtask 1 of the AXOLOTL-24 Shared Task on unsupervised lexical semantic change modeling. In a joint task of word sense disambiguation and word sense induction on diachronic corpora, we significantly outperform the baseline by merging clusters of modern usage examples based on their similarities with the same historical word sense as well as their mutual similarities. We observe that multilingual sentence embeddings outperform language-specific ones in this task.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 5th Workshop on Computational Approaches to Historical Language Change
ISBN
979-8-89176-138-4
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
23-28
Publisher name
Association for Computational Linguistics
Place of publication
Stroudsburg, PA, USA
Event location
Bangkok, Thailand
Event date
Aug 15, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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