We propose a multi-label text classification model based on BERT, EnvBERT, which includes multi-label features in text classification and has good predictive performance for imbalanced, noisy environmental news data. EnvBERT is based on the KoBERT model pre-trained with Korean text data. We used...
docker run -v$TRAIN_DIR:/train -v$MODEL_DIR:/model yamai/bert-multilabel-classifier:train-latest or docker run -v$MODEL_DIR:/model -p 8000:8000 yamai/bert-multilabel-classifier:serve-latest If GPU is available, you can pull and use the images with tagsgpu-train-latestandgpu-serve-latest...
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 ...
实验证明SGM+BERT模型收敛比BERT快很多,混合模型的效果最好。 ·参考文献: [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...
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...
Multi-label text classificationBERTSequence-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.....
X-BERT: eXtreme Multi-label Text Classification with using Bidirectional Encoder Representations from TransformersWei-Cheng ChangHsiang-Fu YuKai ZhongYiming YangInderjit Dhillon
简介:【多标签文本分类】BERT for Sequence-to-Sequence Multi-Label Text Classification ·阅读摘要: 本文在已有的SGM和BERT模型上改进,提出了SGM+BERT模型、混合模型。实验证明SGM+BERT模型收敛比BERT快很多,混合模型的效果最好。 ·参考文献: [1] BERT for Sequence-to-Sequence Multi-Label Text Classification ...
A proposed classification process was implemented with performance metrics, which have confirmed that the combination LP-SVM continues to be an option with remarkable results in multi-label text classification.Morales-Hernández, Roberto CarlosAv. Instituto Politécnico Nacional 195Becerra-Alonso, David...
基于BERT的文本多标签多分类. Contribute to nibuhao/TextMultiLabelClassification development by creating an account on GitHub.