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From this research, Sentence Embedding via Semantic Subspace Analysis (S3E) allows us to construe sentence embeddings which are competitive with sentence bert.
[Sentence Embedding via Semantic Subspace Analysis](https://arxiv.org/abs/2002.09620)
Would be handy to have in your library? I'm not a pythoneer, but from what I get from others code is it seems not very complicated to implement:
https://github.com/deepset-ai/FARM/blob/master/examples/embeddings_extraction_s3e_pooling.py
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