Fine-tuning the SwissBERT Encoder Model for Embedding Sentences and Documents

Juri Grosjean, Jannis Vamvas


Anthology ID:
2024.swisstext-1.4
Volume:
Proceedings of the 9th edition of the Swiss Text Analytics Conference
Month:
June
Year:
2024
Address:
Chur, Switzerland
Editors:
Capol Corsin, Cieliebak Mark, Weichselbraun Albert, Musat Claudiu, Maier Elisabeth, Zimmermann Lucas
Venue:
SwissText
SIG:
SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
41–49
Language:
URL:
https://aclanthology.org/2024.swisstext-1.4/
DOI:
Bibkey:
Cite (ACL):
Juri Grosjean and Jannis Vamvas. 2024. Fine-tuning the SwissBERT Encoder Model for Embedding Sentences and Documents. In Proceedings of the 9th edition of the Swiss Text Analytics Conference, pages 41–49, Chur, Switzerland. Association for Computational Linguistics.
Cite (Informal):
Fine-tuning the SwissBERT Encoder Model for Embedding Sentences and Documents (Grosjean & Vamvas, SwissText 2024)
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PDF:
https://aclanthology.org/2024.swisstext-1.4.pdf