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Evaluating Unsupervised Dimensionality Reduction Methods for Pretrained Sentence Embeddings
Sentence embeddings produced by Pretrained Language Models (PLMs) have received wide attention from the NLP community due to their superior performance when representing texts in numerous downstream applications.
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