首先基于Dataset类创建QTagDataset类,以BERT模型所需的格式准备文本。 class QTagDataset (Dataset): def __init__(self,quest,tags, tokenizer, max_len): self.tokenizer = tokenizer self.text = quest self.labels = tags self.max_len = max_len def __len__(self): return len(self.text) def _...
[1] BERT for Sequence-to-Sequence Multi-Label Text Classification [2] SGM模型讲解,参考博客:【多标签文本分类】SGM: Sequence Generation Model for Multi-Label Classification [3] Bert模型讲解,参考博客:【文本分类】BERT: Pre-training of Deep Bidirectional Transformer...
classification-train.txt ├── evaluate.py 模型评估├── loader.py 数据编码器├── main.py ├── model.jpg 模型示意图├── model.py 模型文件├── nohup.out 训练日志├── path.py 路径文件├── predict.py 模型预测├── train.py 模型训练├── utils bert4keras工具包,也可pip...
BERT AAAI-2021-LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification BERT arxiv-2022-Exploiting Local and Global Features in Transformer-based Extreme Multi-label Text Classification (CMU) 预训练得到的知识可以缓解尾标签数据不足的问题。 然而在将...
https://towardsdatascience.com/building-a-multi-label-text-classifier-using-bert-and-tensorflow-f188e0ecdc5d 对于天气特征, 如果是多分类(multiclass), 天气可能是 晴天 阴天 雨雪 等之一, 天气预报只负责较粗略的特征。 对于详细的天气特征, 例如 有没有太阳、 有没有云、 有没有月亮, 则可以是其中之一...
X-BERT: eXtreme Multi-label Text Classification with BERT Wei-Cheng Chang, Hsiang-Fu Yu, Kai Zhong, Yiming Yang, Inderjit Dhillon Preprint 2019 Installation Requirements conda python=3.6 cuda=9.0 Pytorch=0.4.1 pytorch-pretrained-BERT=0.6.2 ...
classifier_multi_label:multi-label,classifier,text classification,多标签文本分类,文本分类,BERT,ALBERT,multi-lab陆豪**战神 上传490KB 文件格式 zip text-classification tensorflow multi-label-classification albert bert 简介 1、本项目是在tensorflow版本1.14.0的基础上做的训练和测试。 2、本项目为中文的多标签...
BERTSequence-to-sequence learningSequence generationHierarchical text classificationWe study the BERT language representation model and the sequence generation model with BERT encoder for the multi-label text classification task. We show that the Sequence Generating BERT model......
Please check out my fast-bert repo for the latest implementation of multilabel classification. https://github.com/kaushaltrivedi/fast-bert This repository contains the Jupyter notebook for multilabel text classification using BERT. This is the accompanying code for the medium story https://medium....
Text Classification 基于Keras的15种模型:TextCNN, TextRNN, TextDPCNN, TextRCNN, TextHAN, TextBert等及其变种 支持5类特征及其组合:word-level, char-level, 结构化特征(TFIDF, LSA), Context特征(word-left, word-right, char-left, char-right), sentence-level 支持4种分类任务:单标签二分类,单标签多...