文本分类论文阅读笔记

文章目录

CNN系列
- Effective Use of Word Order for Text Categorization with Convolutional Neural Networks
- A Convolutional Neural Network for Modelling Sentences
- Convolutional Neural Networks for Sentence Classification
- Deep Pyramid Convolutional Neural Networks for Text Categorization
- Super Characters: A Conversion from Sentiment Classification to Image Classification
LSTM系列
- Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification
- Hierarchical Attention Networks for Document Classification
Pre-train
- Fine-tuned Language Models(FitLaM)
- Universal Language Model Fine-tuning for Text Classification
其他
- fastText(Bag of Tricks for Efficient Text Classification)

这篇博客只是个索引, 具体的阅读笔记请点击每篇论文的链接.

CNN系列

Effective Use of Word Order for Text Categorization with Convolutional Neural Networks

阅读笔记

A Convolutional Neural Network for Modelling Sentences

DCNN阅读笔记

Convolutional Neural Networks for Sentence Classification

text-CNN阅读笔记

Deep Pyramid Convolutional Neural Networks for Text Categorization

DPCNN阅读笔记

Super Characters: A Conversion from Sentiment Classification to Image Classification

主要思想：把文字转化成图，然后用图片进行训练。

LSTM系列

Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification

Att-BLSTM阅读笔记

Hierarchical Attention Networks for Document Classification

HAN阅读笔记

Pre-train

Fine-tuned Language Models(FitLaM)

算是ULMFiT的前身, 基本一样.

Universal Language Model Fine-tuning for Text Classification

ULMFiT阅读笔记

其他

fastText(Bag of Tricks for Efficient Text Classification)

fastText阅读笔记

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文本分类论文阅读笔记

文章目录

CNN系列

Effective Use of Word Order for Text Categorization with Convolutional Neural Networks

A Convolutional Neural Network for Modelling Sentences

Convolutional Neural Networks for Sentence Classification

Deep Pyramid Convolutional Neural Networks for Text Categorization

Super Characters: A Conversion from Sentiment Classification to Image Classification

LSTM系列

Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification

Hierarchical Attention Networks for Document Classification

Pre-train

Fine-tuned Language Models(FitLaM)

Universal Language Model Fine-tuning for Text Classification

其他

fastText(Bag of Tricks for Efficient Text Classification)

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