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shihong's Projects

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Official implementation of the TNNLS2022 work "Description-Enhanced Label Embedding Contrastive Learning for Text Classification"

-text icon -text

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.

classifier-multi-label icon classifier-multi-label

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

cleam-bert icon cleam-bert

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

convseg icon convseg

Convolutional neural network and word embeddings for Chinese word segmentation

hbgl icon hbgl

利用全局和局部层次结构进行分层文本分类

hyperbolic-label-emb-for-hmc icon hyperbolic-label-emb-for-hmc

Code for the paper Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification (EACL '21)

keras-textclassification icon keras-textclassification

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

labelwiseatthtc icon labelwiseatthtc

Code for paper: Hierarchical Text Classification using Language Models with Global Label-wise Attention Mechanisms.

lcn_capsule icon lcn_capsule

用于分层文本分类的标签校正胶囊网络

lr-gcn icon lr-gcn

Label-Representative Graph Convolutional Network for Multi-Label Text Classification

mrmp icon mrmp

Multi-relation Message Passing for Multi-label Text Classification (ICASSP 2022)

muse icon muse

A library for Multilingual Unsupervised or Supervised word Embeddings

pycharm icon pycharm

✔️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。

wc-sbert icon wc-sbert

WC-SBERT: Zero-Shot Text Classification via SBERT with Self-Training for Wikipedia Categories

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