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NLP 仓库

VSM:

复现论文Entropy-based Term Weighting Schemes for Text Categorization in VSM的文本分类实验

使用语料库 Reuters R8

使用模型 : KNN、SVM

实现经典特征权重计算方法:

  1. tf-idf
  2. tf-chi
  3. tf-rf
  4. tf-ig
  5. tf-eccd
  6. iqf_qf_icf

实现论文提出的两种新的权重计算方法:

  1. tf-dc
  2. tf-bdc

整个实现过程详见这篇文章

Du Reading Comprehension

百度机器阅读理解 神经网络和xgboost调参部分代码

神经网络包含M-LSTMBIDAF两个官方给出的baseline

在baseline基础上改成从每篇文章抽取一个答案,增加r-net的核心层:self-matching

改动基于baseline的tensorflow版本

比赛总结详见这篇文章

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Contributors

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