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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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arxiv.org/abs/2310.19349ARXIV-DEFAULT
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Abstract

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.

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3