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

This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.

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

Multi Label text classification using bert

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification

基于pytorch + bert的多标签文本分类（multi label text classification）

Multi-label text classification using BERT

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification，seq2seq，attention，beam search

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification

Multi-Label Text Classification Based On Bert

BERT-based multi-label text classification engine

Multi-Label Text Classification by fine-tuning BERT and XLNet and deployment using Flask

BERT fine-tuned for hierarchical multi-label text classification (HMLTC)

A simple implement for multi-label text classification with Bert. I will extend the code to a higher version for very long text over 512, which is the longest input sequence of Bert.

Extreme Multi-label Text Classification based on X-BERT with GCN and Clustering modules

pytorch bert 版的 multi_label_text_classification

The web scraping code extracts detailed product information, forming the foundation for ML-based categorization. Two methods are implemented for assigning category tags to products based on their titles. Model 1: Advanced Custom Classification in AWS Comprehend. Model 2: Fine-tuned BERT Language Model.

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This project focuses on multi-label text classification using BERT (Bidirectional Encoder Representations from Transformers). We combine titles and abstracts of articles to classify them into multiple categories simultaneously.

NLP projects out of work time in PKU Institute of Computational Linguistics, NLP includes Information Extraction,Relation Extraction,NER Cross-Lingual Graph Knowledge Bases Language Models Bertology Bert Distilled Bert Probe Document-level Representation Tune NLG Summarization NMT ChatBot QA MRC Dialogue Information System Other Text Style Transfer Parsing Chinese Attack Common Sense. ML projects include Architecture Transformer Relative position embedding Attention Normalization.Startegy includes Metric Learning Interpretability Multi-task Regularization Optimization Negative Sample.Data includes Unbalance Classify Noisy Labels Extreme Classification Tabular Learning Applied Data Scrience Table and Chart Demo.CV includes Video Prediction.System includes Distribution.

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Multi-Label Text Classification using BERT

This repository contains code and resources for performing multi-label text classification using Transformer models and BERT. The project aims to provide a comprehensive framework for training and evaluating models on text data with multiple labels per instance.

Chinese text classification (include single-label and multi-label version), using pytorch & BERT

Multi-label text classification pipeline for categorizing COVID-19-related tweets using advanced NLP techniques, including BERT, CNN-GRU, TCN, and ensemble models. The project explores variations like stratified sampling and weighted class adjustments to improve classification performance

brrr, let's use BERT to do the multi-label text classification.

Correlation Learning with Enhanced Attention Mechanism of BERT for Multi-Label Text Classification

Fine tuning an italian BERT model for a multi-label text classification task based on Italian Penal Code.

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