Can political dogwhistles be predicted by distributional methods for analysis of lexical semantic change?

Max Boholm, Björn Rönnerstrand, Ellen Breitholtz, Robin Cooper, Elina Lindgren, Gregor Rettenegger, Asad Sayeed


Anthology ID:
2024.lchange-1.14
Volume:
Proceedings of the 5th Workshop on Computational Approaches to Historical Language Change
Month:
August
Year:
2024
Address:
Bangkok, Thailand
Editors:
Nina Tahmasebi, Syrielle Montariol, Andrey Kutuzov, David Alfter, Francesco Periti, Pierluigi Cassotti, Netta Huebscher
Venues:
LChange | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
144–157
Language:
URL:
https://aclanthology.org/2024.lchange-1.14
DOI:
10.18653/v1/2024.lchange-1.14
Bibkey:
Cite (ACL):
Max Boholm, Björn Rönnerstrand, Ellen Breitholtz, Robin Cooper, Elina Lindgren, Gregor Rettenegger, and Asad Sayeed. 2024. Can political dogwhistles be predicted by distributional methods for analysis of lexical semantic change?. In Proceedings of the 5th Workshop on Computational Approaches to Historical Language Change, pages 144–157, Bangkok, Thailand. Association for Computational Linguistics.
Cite (Informal):
Can political dogwhistles be predicted by distributional methods for analysis of lexical semantic change? (Boholm et al., LChange-WS 2024)
Copy Citation:
PDF:
https://aclanthology.org/2024.lchange-1.14.pdf