realcactus / bert
TensorFlow code and pre-trained models for BERT
☆58Updated 4 years ago
Alternatives and similar repositories for bert:
Users that are interested in bert are comparing it to the libraries listed below
- 关于文本分类的许多方法,主要涉及到TextCNN,TextRNN, LEAM, Transformer,Attention, fasttext, HAN等☆75Updated 6 years ago
- 实体链接demo☆65Updated 6 years ago
- bilstm _Attention_crf☆37Updated 6 years ago
- 在bert模型的pre_training基础上进行text_cnn文本分类☆78Updated 5 years ago
- Keras solution of Chinese NER task using BiLSTM-CRF/BiGRU-CRF/IDCNN-CRF model with Pretrained Language Model: supporting BERT/RoBERTa/ALB…☆12Updated last year
- 微调 预训练语言模型,解决多标签分类任务(可加载BERT、Roberta、Bert-wwm以及albert等知名开源tf格式的模型)☆141Updated 4 years ago
- bert for chinese text classification☆142Updated 6 years ago
- 使用BERT做文本相似度☆64Updated 5 years ago
- some baselines for lic2020 (http://lic2020.cipsc.org.cn/)☆218Updated 5 years ago
- NLP Predtrained Embeddings, Models and Datasets Collections(NLP_PEMDC). The collection will keep updating.☆64Updated 5 years ago
- use ELMo in chinese environment☆104Updated 6 years ago
- 相似案例匹配☆46Updated 5 years ago
- CAIL-CCL-2019相似案例匹配三等奖解决方案☆14Updated 5 years ago
- Byte Cup 2018国际机器学习竞赛 23 名(水滴队)代码☆46Updated 6 years ago
- transformer crf 命名实体识别☆106Updated 6 years ago
- 一个关于百度2019语言与智能技术竞赛信息抽取 (http://lic2019.ccf.org.cn/kg) 模型, 模型采用BERT+CNN。DEMO地址 https://github.com/Wangpeiyi9979/InformationExtractionDem…☆187Updated 5 years ago
- CCKS 2018 开放领域的中文问答任务 1st 解决方案☆109Updated 5 years ago
- 事件抽取相关算法汇总☆125Updated 5 years ago
- the demo for bert☆141Updated 5 years ago
- 2019百度语言与智能技术竞赛信息抽取赛代5名代码☆69Updated 5 years ago
- 2019年百度的实体链接比赛,“科学空间队”源码☆110Updated 5 years ago
- biLSTM_CRF 命名实体识别☆52Updated 6 years ago
- 关系抽取个人实战总结以及开源工具包使用☆56Updated 6 years ago
- Relation Extraction 中文关系提取☆72Updated 6 years ago
- 使用BERT模型做文本分类;面向工业用途☆218Updated 5 years ago
- ccks_2019_百度实体链接技术比赛_第一名解决方案☆57Updated 5 years ago
- datagrand 2019 information extraction competition rank9☆130Updated 5 years ago
- 中文预训练模型生成字向量学习,测试BERT,ELMO的中文效果☆99Updated 5 years ago
- Use deep models including BiLSTM, ABCNN, ESIM, RE2, BERT, etc. and evaluate on 5 Chinese NLP datasets: LCQMC, BQ Corpus, ChineseSTS, OCN…☆76Updated 3 years ago
- ☆91Updated 6 years ago