常用嵌入模型

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参考文献

Attention Is All You Need, Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Łukasz Kaiser, Illia Polosukhin, 2017 Advances in Neural Information Processing Systems, Vol. 30 (Curran Associates, Inc.) DOI: 10.48550/arXiv.1706.03762 - 本文介绍了Transformer架构，它是BERT和SBERT等现代NLP模型的基础。
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding, Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova, 2019 Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), Vol. 1 (Association for Computational Linguistics) DOI: 10.18653/v1/N19-1423 - 介绍了BERT模型，这是一种基础的预训练语言模型，后来成为SBERT等专门模型的基础。
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks, Nils Reimers, Iryna Gurevych, 2019 Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) (Association for Computational Linguistics) DOI: 10.18653/v1/D19-1410 - 这篇开创性论文介绍了Sentence-BERT，它专门用于生成适用于相似性任务的高质量句子嵌入。
Sentence-Transformers Documentation, Nils Reimers, 2024 (Hugging Face) - sentence-transformers库的官方文档，提供了实用指南、模型示例和实现细节。