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个人实现一些NLP的算法(分词,关键词提取,实体识别,文本分类,中文摘要,对话,知识图谱,prompt)等等

Jupyter Notebook 89.26% Python 10.73% Shell 0.02%

nlp_pratice's Introduction

NLP_pratice

NLP 的任务一些经典实现

NLP的一些basline

  • word2vec
  • GLOVE
  • CHAR2W
  • TEXTCNN
  • CHARTEXT
  • FASTEXT
  • NMT
  • ATTENTION-NMT
  • HAN_ATTENTION
  • SGM

中文分词

  • 机械分词
  • CRF分词
  • HMM分词
  • BiLSTM-CRF分词
  • Bert分词

关键词提取

  • textrank
  • LDA
  • tf-idf
  • 新词发现

实体识别

  • CRF
  • CRF
  • IDCNN
  • Bert-CRF

文本分类

  • textCNN
  • RNN
  • fastxt
  • TreeLSTM
  • Xgboost
  • RF
  • Bert(focal_loss)
  • Long former

文本摘要

  • MMR
  • text-rank
  • Bert+kmeans
  • 抽取任务

提示学习

  • ProtoNet
  • prompt learning

预训练模型

  • transformer
  • transformer-xl
  • elmo
  • gpt
  • bert
  • ulmfit
  • albert
  • mass
  • xlnet
  • electra

nlp_pratice's People

Contributors

huichuanli avatar

Stargazers

 avatar 空城 avatar Weiye Zhou avatar  avatar

Watchers

Kostas Georgiou avatar  avatar

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