Text Classification Using Neural Network Language Model (NNLM) and BERT: An Empirical Comparisondoi:10.1007/978-3-030-82199-9_12Text Classification is one of the most cited applications of Natural Language Processing. Classification can save the cost of manual efforts and at the same time increase...
Traditional text classification works mainly focus on three topics: feature engineering, feature selection and using different types of machine learning algorithms. Forfeature engineering, the most widely used feature is the bag-of-words feature. In addition, some more complex features have been designe...
[1] A C-LSTM Neural Network for Text Classification 论文链接:https://arxiv.org/abs/1511.08630 [1] 摘要 · 论文结合CNN和RNN(LSTM)模型提出了C-LSTM模型,应用于文本分类。 · C-LSTM利用CNN提取抽象的高级特征,并将其送入长短期记忆递归神经网络(LSTM)中得到句子表示。最终通...
【论文笔记】Adversarial Multi-task Learning for Text Classification (task-specific features)或者含有来自其他任务带来的噪声问题,作者提出了一个对抗多任务学习模型,缓解了共享特征空间和特定任务特征空间相互干扰的问题,作者在16个任务上进行实验证明其模型的...,针对于已有的神经网络多任务学习的方法可能存在共享和私...
DCNN:A Convolutional Neural Network for Modelling Sentences DPCNN:Deep Pyramid Convolutional Neural Networks for Text Categorization VDCNN:Very Deep Convolutional Networks CRNN:A C-LSTM Neural Network for Text Classification DeepMoji:Using millions of emojio ccurrences to learn any-domain represent ations...
论文《Text Level Graph Neural Network for Text Classification》,作者Lianzhe Huang(MOE Key Lab of Computational Linguistics, Peking University, Beijing, 100871, China),经典的GNN论文(Text-Level-GNN)。 2. 摘要 最近,由于GNN在处理复杂结构和保留全局信息方面表现出色,因此研究探索了文本分类的图神经网络(GNN...
A C-LSTM Neural Network for Text Classification一种用于文本分类的C-LSTM神经网络 下载积分:1600 内容提示: arXiv:1511.08630v2 [cs.CL] 30 Nov 2015A C-LSTM Neural Network for Text Classif i cationChunting Zhou 1 , Chonglin Sun 2 , Zhiyuan Liu 3 , Francis C.M. Lau 1Department of Computer...
1746–1751, Doha, Qatar. Association for Computational Linguistics. Srivastava, R. K., Greff, K., & Schmidhuber, J. (2015). Training very deep networks. In Advances in Neural Information Processing Systems (pp. 2368-2376). About Text classification using a convolutional neural network. ...
TextCNN:Convolutional Neural Networks for Sentence Classification charCNN-kim:Character-Aware Neural Language Models charCNN-zhang:Character-level Convolutional Networks for Text Classification TextRNN:Recurrent Neural Network for Text Classification with Multi-Task Learning ...
Load model and tokenizer. In this code sample, we use a small model, model_id = prajjwal1/bert-tiny. You can also use a different model, but remember that using larger models can be resource consuming and time consuming. model=AutoModelForSequenceClassification.from_pretrained(model_id,...