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The Finer They Get: Combining Fine-Tuned Models For Better Semantic Change Detection
In this work we investigate the hypothesis that enriching contextualized models using fine-tuning tasks can improve their capacity to …
Wei Zhou, Nina Tahmasebi, Haim Dubossarsky
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The Finer They Get: Combining Fine-Tuned Models For Better Semantic Change Detection
DiaWUG: A Dataset for Diatopic Lexical Semantic Variation in Spanish
We provide a novel dataset – DiaWUG – with judgements on diatopic lexical semantic variation for six Spanish variants in Europe and …
Gioia Baldissin, Dominik Schlechtweg, Sabine Schulte Im Walde
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DiaWUG: A Dataset for Diatopic Lexical Semantic Variation in Spanish
3rd International Workshop on Computational Approaches to Historical Language Change 2022 (LChange'22)
Third LChange workshop co-located with ACL2022
Jan 1, 2022 — May 6, 2022 ACL2022, Dublin, Ireland
Nina Tahmasebi, Lars Borin, Simon Hengchen, Syrielle Montariol, Haim Dubossarsky, Andrey Kutuzov
LSCDiscovery: A shared task on semantic change discovery and detection in Spanish
We present the first shared task on semantic change discovery and detection in Spanish. We create the first dataset of Spanish words …
Frank D. Zamora-Reina, Felipe Bravo-Marquez, Dominik Schlechtweg
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LSCDiscovery: A shared task on semantic change discovery and detection in Spanish
Survey of computational approaches to lexical semantic change detection
Our languages are in constant flux driven by external factors such as cultural, societal and technological changes, as well as by only …
Nina Tahmasebi, Lars Borin, Adam Jatowt
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Survey of computational approaches to lexical semantic change detection