《Siamese Recurrent Architectures for Learning Sentence Similarity》
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论文地址与项目源码： mit.edu/~jonasm/info/Mu dhwajraj/deep-siamese-text-similarity 一、主要概念、任务与背景 传统模型，例如词袋模型tf-IDF模型，因为具有固有的 词特异性， 泛化能力 较弱，对于句子语义理解能力较弱 而RNN以及后来的LSTM模型则天然适应variable-length inputs，被认为通过将变长的序列map到一个定 ...
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