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multi_task_learning_paddle icon multi_task_learning_paddle

基于paddle框架实现的多任务模型,同时实现分类和实体识别,可用于对文本提取实体同时对文本进行分类

ner_paddle icon ner_paddle

基于paddle框架实现的命名实体识别工具,简单上手,快速实现,方便部署,包括ernie/bert+mrc,ernie/bert+crf,lstm/gru/bilstm/bigru + crf 的命名实体识别的实现

pytextclassification icon pytextclassification

torch开发,文本分类器,提供多种文本分类和聚类算法,支持句子和文档级的文本分类任务,支持二分类、多分类、多标签分类、包括传统机器学习方法和常用的预训练的模型,开箱即用。 包括 lr,xgb,rf,textcnn,lstm,lstm+att,fasttext,bert,robert,ernie,T5等模型

text_classification_paddle icon text_classification_paddle

基于paddle框架实现的ernie+fc,bilstm+attention,cnn,bow模型的二分类,多分类,多标签分类实现

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