Comments (3)
km1994
commented on May 17, 2024
谢谢大佬提醒，已经修正
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LiuChen19960902
commented on May 17, 2024
哈喽，我又来啦～
想请教一下关于SBERT的计算时间问题，在1.1.3问题分析中，SBERT先对每个句子进行一次离线的embedding计算，然后存下来，这一步我理解。但是后面关于“在计算相似的时候，只需要将句子的 embedding 输入到模型中两两之间计算cosine similarity就可以”，将句子的embedding输入到模型中，不还是要用BERT进行一次inference嘛，这样不就仍然是BERT+Cos sim。
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km1994
commented on May 17, 2024
为什么需要呢？SBert embedding 一次就好了，后面只需要 Cos 就好了，Bert 因为每次计算相似度都需要 把两个句子拼接，所以 需要重新 embedding
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