wxzcyy / NMT
基于seq2seq的机器翻译模型
☆13Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for NMT
- 基于双向RNN,Attention机制的编解码神经机器翻译模型☆59Updated 6 years ago
- BERT微调在机器翻译上的应用,哎哟,效果贼好。☆47Updated 3 years ago
- 机器翻译练习☆14Updated 4 years ago
- NLP homework:RNN+Attention机器翻译模型, Transormer代码学习☆27Updated 5 years ago
- torchtext使用总结,从零开始逐步实现了torchtext文本预处理过程,包括截断补长,词表构建,使用预训练词向量,构建可用于PyTorch的可迭代数据等步骤。并结合Pytorch实现LSTM.☆172Updated 5 years ago
- 中英机器文本翻译☆150Updated 5 years ago
- LCSTS,ROUGE,short text summarization,NLG,seq2seq☆21Updated 7 years ago
- 基于知识库的问答系统。其中使用带注意力机制的对抗迁移学习做中文命名实体识别,使用BERT模型做句子相似度分析。☆36Updated 5 years ago
- 使用BERT做文本相似度☆65Updated 4 years ago
- 英文->中文的机器翻译,原始数据是Kreas官方demo中用到的那个数据,大概2万条。已经上传模型,可以直接运行。☆26Updated 4 years ago
- Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism☆200Updated 6 years ago
- PyTorch Bert Text Classification☆31Updated 5 years ago
- 在bert模型的pre_training基础上进行text_cnn文本分类☆78Updated 4 years ago
- bert for chinese text classification☆142Updated 5 years ago
- 中文->英文的机器翻译,完全基于kreas-transformer。模型已上传,可直接跑。☆51Updated 4 years ago
- 双向lstm+crf 序列标注☆63Updated 5 years ago
- NLP☆132Updated 7 months ago
- ☆36Updated 5 years ago
- 使用分层注意力机制 HAN + 多任务学习 解决 AI Challenger 细粒度用户评论情感分析 。https://challenger.ai/competition/fsauor2018☆57Updated 5 years ago
- 基于TensorFlow,seq2seq+attention+beamsearch的文本摘要。☆57Updated 5 years ago
- Capsule, LSTM/GRU, CNN for text class implemented by Pytorch 胶囊网络, 循环神经网络和卷积神经网络在中文文本分类中的应用☆43Updated 5 years ago
- 集成各种神经网络进行情感分类,包括CNN、LSTM、Transformer以及BERT等网络模型☆69Updated 5 years ago
- An Implementation of 'Attention is all you need' with Chinese Corpus☆129Updated 5 months ago
- AAAI19 - Lattice CNNs for Matching Based Chinese Question Answering☆110Updated last year
- seq2seq learning with TensorFlow☆58Updated 5 years ago
- Multilabel classification based on TextCNN and Attention☆76Updated 4 years ago
- ene to end neural coreference resolution(forked from https://github.com/kentonl/e2e-coref and make some little change)☆20Updated 6 years ago
- ☆135Updated 5 years ago