These tasks include large-scale seman-tic similarity comparison, clustering, and information retrieval via semantic search.
it requires that both sentences are fed into the network, which causes a massive computational overhead: Finding the most similar pair in a collection of 10,000 sentences requires about 50 million inference computations (~65 hours) with BERT.