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基于方差权重因子选词的SIF句向量模型-实验源码

License: MIT License

Python 100.00%
sif sentence-embeddings python36

cwvw-sif's Introduction

CwVW-SIF

这篇文章是我发表在《计算机工程》上的《基于方差权重因子选词改进的平滑反频率句向量模型》论文中实验的源代码,论文暂时还没有见刊. 本文参考了Sanjeev Arora等人的SIF句向量模型,详见论文“A Simple but Tough-to-Beat Baseline for Sentence Embeddings”,在此致谢!

实验数据

  • GLoVe词向量
  • news20.tar.gz通过import sklearn.dataset就可获得

引用方法

孙毅,裘杭萍,康睿智.基于方差权重因子选词的SIF句向量模型[J].计算机工程,2019,45(09):204-210+234.

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