We report the development of Japanese SimCSE, Japanese sentence embedding models fine-tuned with SimCSE. Since there is a lack of sentence embedding models for Japanese that can be used as a baseline in sentence embedding research, we conducted extensive experiments on Japanese sentence embeddings involving 24 pre-trained Japanese or multilingual language models, five supervised datasets, and four unsupervised datasets. In this report, we provide the detailed training setup for Japanese SimCSE and their evaluation results.
Japanese SimCSE Technical Report
Japanese SimCSE fine-tuned sentence embedding models are developed and evaluated using multiple datasets, addressing a gap in Japanese sentence embeddings.
- Year
- 2023
- Venue
- arXiv 2023
- Authors
- 3
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- Abstract onlyARXIV-DEFAULT
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- Abstract & full text
- arxiv.org/abs/2310.19349ARXIV-DEFAULT
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- Semantic Scholar