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Name: shihong
Type: User
Name: shihong
Type: User
Official implementation of the TNNLS2022 work "Description-Enhanced Label Embedding Contrastive Learning for Text Classification"
cntext is a text analysis package that provides semantic distance and semantic projection based on word embedding models. Besides,cntext also provides the traditional methods, such as word count , readability, document similarity, sentiment analysis, etc.
使用Bert,ERNIE,进行中文文本分类
This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.
中文文本分类,TextCNN,TextRNN,FastText,TextRCNN,BiLSTM_Attention,DPCNN,Transformer,基于pytorch,开箱即用。
多标签文本分类,多标签分类,文本分类, multi-label, classifier, text classification, BERT, seq2seq,attention, multi-label-classification
基于增强注意力的BERT关联学习在多标签文本分类中的应用
Convolutional neural network and word embeddings for Chinese word segmentation
利用全局和局部层次结构进行分层文本分类
分层多标签文本分类的 PyTorch 实现:一种基于注意力的递归网络
高度关联性
Code for the paper Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification (EACL '21)
中文长文本分类、短句子分类、多标签分类、两句子相似度(Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short),字词句向量嵌入层(embeddings)和网络层(graph)构建基类,FastText,TextCNN,CharCNN,TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN
The code for our paper "Label-Specific Feature Augmentation for Long-Tailed Multi-Label Text Classification”
Code for paper: Hierarchical Text Classification using Language Models with Global Label-wise Attention Mechanisms.
用于分层文本分类的标签校正胶囊网络
Label-Representative Graph Convolutional Network for Multi-Label Text Classification
Multi-relation Message Passing for Multi-label Text Classification (ICASSP 2022)
A library for Multilingual Unsupervised or Supervised word Embeddings
An Open-source Neural Hierarchical Multi-label Text Classification Toolkit
NLP预训练模型方法
Open Source Tutorial For Analyzing & Visualizing 60 Million Police Stops Using Python
✔️李沐 【动手学深度学习】课程学习笔记:使用pycharm编程,基于pytorch框架实现。
基于BERT的文本多标签多分类
WC-SBERT: Zero-Shot Text Classification via SBERT with Self-Training for Wikipedia Categories
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