JackHCC / Chinese-TokenizationLinks
利用传统方法(N-gram,HMM等)、神经网络方法(CNN,LSTM等)和预训练方法(Bert等)的中文分词任务实现【The word segmentation task is realized by using traditional methods (n-gram, HMM, etc.), neural network methods (CNN, LSTM, etc.) and pre training methods (Bert, etc.)】
☆35Updated 3 years ago
Alternatives and similar repositories for Chinese-Tokenization
Users that are interested in Chinese-Tokenization are comparing it to the libraries listed below
Sorting:
- NLP文本增强的 两种方式:同义词替换(利用word2vec词表)和回译☆77Updated 4 years ago
- SimCSE中文语义相似度对比学习模型☆88Updated 3 years ago
- SimCSE在中文上的复现,有监督+无监督☆278Updated 6 months ago
- ☆279Updated 3 years ago
- SimCSE有监督与无监督实验复现☆149Updated last year
- NLP句子编码、句子embedding、语义相似度:BERT_avg、BERT_whitening、SBERT、SmiCSE☆178Updated 3 years ago
- 文本相似度(匹配)计算,提供Baseline、训练、推理、指标分析...代码包含TensorFlow/Pytorch双版本☆179Updated 3 years ago
- 中文数据集下SimCSE+ESimCSE的实现☆193Updated 3 years ago
- 基于pytorch + bert的多标签文本分类(multi label text classification)☆108Updated 2 years ago
- 基于pytorch_bert的中文多标签分类☆91Updated 3 years ago
- smp ewect code☆77Updated 4 years ago
- 基于pytorch+bert的中文文本分类☆88Updated 2 years ago
- Chinese-Text-Classification Project including bert-classification, textCNN and so on.☆161Updated 3 years ago
- 超长文本分类(大于1000字);文档 级/篇章级文本分类;主要是解决长距离依赖问题☆132Updated 3 years ago
- 中文文本分类,Bert,TextCNN,TextRNN,FastText,TextRCNN,BiLSTM_Attention,DPCNN,Transformer,基于pytorch,开箱即用。☆33Updated 3 years ago
- 利用huggingface实现文本分类☆58Updated 3 years ago
- 基于Transformers的文本分类☆342Updated 3 years ago
- 疫情期间网民情绪识别比赛分享+top1~3解决方案☆51Updated 4 years ago
- 文本分类baseline:BERT、半监督学习UDA、对抗学习、数据增强☆104Updated 4 years ago
- 基于prompt的中文文本分类。☆55Updated 2 years ago
- bert pytorch模型微调用于的多标签文本分类☆136Updated 5 years ago
- Mark and summarize the NLP project has been through☆135Updated 3 years ago
- ☆52Updated 5 years ago
- 天池 新冠疫情相似句对判定大赛 top6方案☆77Updated 3 years ago
- 根据维基中文语料库预训练 GloVe 中文词向量;Pre-train GloVe word-embedding From Chinese Wiki corpus☆77Updated last year
- THUCNews中文文本分类数据集,该数据集包含84万篇新闻文档,总计14类;在该模型的基础上测试多个版本bert分类效果。☆65Updated 4 years ago
- 自然语言处理中的基础任务,包含但不限于文本表示,文本分类,命名实体识别,关系抽取,文本生成,文本摘要等,基于tensorflow2或Pytorch,所有代码均经过测试,项目中也包含相关数据。☆150Updated 2 years ago
- 全局指针统一处理嵌套与非嵌套NER的Pytorch实现☆400Updated 2 years ago
- 中文NER的那些事儿☆320Updated last year
- ASAP: A Chinese Review Dataset Towards Aspect Category Sentiment Analysis and Rating Prediction☆336Updated 4 years ago