这是对论文A SIMPLE BUT TOUGH-TO-BEAT BASELINE FOR SENTENCE EMBEDDING的python实现.
词频估计时使用了约13G的WIKI英文语料库 词向量模型分别选用了word2vec、glove以及PSL vector
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This is a implementation of the paper A SIMPLE BUT TOUGH-TO-BEAT BASELINE FOR SENTENCE EMBEDDING.
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