Taeuk Kim, Kang Min Yoo, Sang-goo Lee. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). 2021.

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Kim et al. (Fri,) studied this question.

synapsesocial.com/papers/6a18b3758ae5d6c7674ac162 https://doi.org/https://doi.org/10.18653/v1/2021.acl-long.197

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Apprentissage contrastif auto-guidé pour les représentations de phrases BERT | Synapse

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1On the Sentence Embeddings from Pre-trained Language Models2020 · 545 citations
2SBERT-WK: A Sentence Embedding Method by Dissecting BERT-Based Word Models2020 · 167 citations
3DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations2020 · 97 citations
4Distributed Representations of Words and Phrases and their Compositionality2013 · 18,086 citations
5SemEval-2012 Task 6: A Pilot on Semantic Textual Similarity2012 · 680 citations