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  - sentence-embeddings
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  - sentence-similarity
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- ### mirror-bert-base-uncased-sentence
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- An unsupervised sentence encoder proposed by [Liu et al. (2021)](https://arxiv.org/pdf/2104.08027.pdf). Trained with unlabelled raw sentences, using [bert-base-uncased](https://huggingface.co/bert-base-uncased) as the base model. Please use mean-pooling over *all tokens* as the representation of the input.
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  ### Citation
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  ```bibtex
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  @inproceedings{
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- liu2021fast,
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  title={Fast, Effective and Self-Supervised: Transforming Masked LanguageModels into Universal Lexical and Sentence Encoders},
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  author={Liu, Fangyu and Vuli{\'c}, Ivan and Korhonen, Anna and Collier, Nigel},
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  booktitle={EMNLP 2021},
 
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  - sentence-embeddings
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  - sentence-similarity
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+ ### cambridgeltl/mirror-bert-base-uncased-sentence
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+ An unsupervised sentence encoder proposed by [Liu et al. (2021)](https://arxiv.org/pdf/2104.08027.pdf). Trained with unlabelled raw sentences, using [bert-base-uncased](https://huggingface.co/bert-base-uncased) as the base model. Please use mean-pooling over *all tokens* (including padded ones) as the representation of the input.
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  ### Citation
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  ```bibtex
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  @inproceedings{
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+ liu2021fast,
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  title={Fast, Effective and Self-Supervised: Transforming Masked LanguageModels into Universal Lexical and Sentence Encoders},
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  author={Liu, Fangyu and Vuli{\'c}, Ivan and Korhonen, Anna and Collier, Nigel},
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  booktitle={EMNLP 2021},