An Unsupervised Sentence Embedding Method byMutual Information Maximization

25 Sep 2020 Yan Zhang Ruidan He Zuozhu Liu Kwan Hui Lim Lidong Bing

BERT is inefficient for sentence-pair tasks such as clustering or semantic search as it needs to evaluate combinatorially many sentence pairs which is very time-consuming. Sentence BERT (SBERT) attempted to solve this challenge by learning semantically meaningful representations of single sentences, such that similarity comparison can be easily accessed... (read more)

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