HSE at LSCDiscovery in Spanish: Clustering and Profiling for Lexical Semantic Change Discovery
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3AQ8WUVPUR" target="_blank" >RIV/00216208:11320/22:Q8WUVPUR - isvavai.cz</a>
Result on the web
<a href="https://aclanthology.org/2022.lchange-1.21" target="_blank" >https://aclanthology.org/2022.lchange-1.21</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.18653/v1/2022.lchange-1.21" target="_blank" >10.18653/v1/2022.lchange-1.21</a>
Alternative languages
Result language
angličtina
Original language name
HSE at LSCDiscovery in Spanish: Clustering and Profiling for Lexical Semantic Change Discovery
Original language description
This paper describes the methods used for lexical semantic change discovery in Spanish. We tried the method based on BERT embeddings with clustering, the method based on grammatical profiles and the grammatical profiles method enhanced with permutation tests. BERT embeddings with clustering turned out to show the best results for both graded and binary semantic change detection outperforming the baseline.
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
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Others
Publication year
2022
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 3rd Workshop on Computational Approaches to Historical Language Change
ISBN
978-1-955917-42-1
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
193-197
Publisher name
Association for Computational Linguistics
Place of publication
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Event location
Dublin, Ireland
Event date
Jan 1, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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