基于BERT的文本多标签多分类 Dataset 某新闻数据集,第一个空格分割标签和文本,多标签再用|符号分割。形如: 人生-死亡|灾害/意外-坍/垮塌|人生-失联 青岛地铁施工段坍塌致3人遇难2名失联者仍在搜救 Project ├── README.md ├── chinese_roformer-v2-char_L-12_H-768_A-12 12层bert base
层级负采样 NeurIPS-2019-AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification 动态负采样 AAAI-2021-LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification 难样本挖掘 WSDM-2021-DeepXML:...
一、背景介绍 1、研究背景:Multi-label和二分类、多分类研究的内容本身就不太一样,并且Multi-label的数据稀疏问题比单一分类更严重,因此很难学习label之间的依赖关系。 2、研究问题:Extreme Multi-label Text Classification(XMTC)研究的是在一个非常大的标签空间中,为每一个文档找到最相关的若干标签(例如Wikipedia) ...
In this paper, we constructed a standard multi-label Arabic dataset using manual annotation and a semi-supervised annotation technique that can be used for short text classification, sentiment analysis, and multilabel classification. Then, we evaluated the topics classification, sentiment analysis, and...
function [loss,gradients,Y] = modelLoss(X,T,parameters) Y = model(X,parameters); loss = crossentropy(Y,T,ClassificationMode="multilabel"); gradients = dlgradient(loss,parameters); end Model Predictions Function The modelPredictions function takes as input the model parameters, a word encodi...
According to Wikipedia "In machine learning, multi-label classification and the strongly related problem of multi-output classification are variants of the classification problem where multiple labels may be assigned to each instance. Multi-label classification is a generalization of multiclass ...
1、An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot Labels,EMNLP 2020, cite 19 1.1 摘要 1.2 现有方法 1.3 效果 2、AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification, NIPS, 2019, cite ...
Multi-label classification is a challenging task in natural language processing. Most of existing methods tend to ignore the semantic information of the text. Besides, different parts of the text...doi:10.1007/978-3-030-26075-0_29Wei Sun...
multi-label text classificationClassifying text data has been an active area of research for a long time. Text document is multifaceted object and often inherently ambiguous by nature. Multi-label learning deals with such ambiguous object. Classification of such ambiguous text objects often makes task...
【提示学习】Label prompt for multi-label text classification,生成式网络、学习标签表示、建模标签关联的问题所在:当标签文本之