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This project aims to implement the charCNN word embedding method that is leveraged in ELMo and characterBERT.
Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo
中文长文本分类、短句子分类、多标签分类、两句子相似度(Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short),字词句向量嵌入层(embeddings)和网络层(graph)构建基类,FastText,TextCNN,CharCNN,TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN
Tensorflow QANet with ELMo
Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com
Keyphrase or Keyword Extraction 基于预训练模型的中文关键词抽取方法(论文SIFRank: A New Baseline for Unsupervised Keyphrase Extraction Based on Pre-trained Language Model 的中文版代码)
BERT-NER (nert-bert) with google bert https://github.com/google-research.
NLP research:基于tensorflow的nlp深度学习项目,支持文本分类/句子匹配/序列标注/文本生成 四大任务
A list of pretrained Transformer models for the Russian language.
Keras Implementation of Aspect based Sentiment Analysis
The code of our paper "SIFRank: A New Baseline for Unsupervised Keyphrase Extraction Based on Pre-trained Language Model"