cedar33 / bert_offline
小内存、显存(低于4g)使用bert做下游任务的一个方案
☆13Updated 5 years ago
Alternatives and similar repositories for bert_offline:
Users that are interested in bert_offline are comparing it to the libraries listed below
- 开课吧&后厂理工学院_百度NLP项目2:试题数据集多标签文本分类 Models: FastText TextCNN GCN BERT et al.☆48Updated 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
- 达观算法比赛ner任务,从重新训练bert,到finetune预测。☆75Updated 2 years ago
- CCKS2019-人物关系抽取☆74Updated 5 years ago
- Relation Extraction 中文关系提取☆72Updated 6 years ago
- BDCI2019-互联网金融新实体发现-第7名(本可top3)☆18Updated 5 years ago
- 之江-电商评论观点挖掘的比赛,基于pytorch-transformers版本,暂时只实现了BERT做aspect+opinion+属性分类+情感极性的联合标注,还未加上CRF。☆33Updated 5 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
- 命名实体消歧的实现☆41Updated 6 years ago
- Bert中文文本分类☆41Updated 5 years ago
- 2019之江杯人工智能大赛电商评论观点挖掘赛道top3☆45Updated 5 years ago
- 电商评论观点挖掘☆41Updated 4 years ago
- CCKS 2019 Task 2: Entity Recognition and Linking☆94Updated 5 years ago
- 使用ALBERT预训练模型,用于识别文本中的时间,同时验证模型的预测耗时是否有显著提升。☆56Updated 5 years ago
- 实现了一下multi-head-selection联合关系实体抽取☆30Updated 5 years ago
- 依存句法实现关系三元组的自动抽取☆99Updated 3 years ago
- CCF-BDCI大数据与计算智能大赛-互联网金融新实体发现-9th☆54Updated 5 years ago
- 疫情期间网民情绪识别比赛baseline,使用BERT进行端到端的fine-tuning,datafountain平台,平台评测F1值0.716。☆35Updated 5 years ago
- 相似案例匹配☆46Updated 5 years ago
- ccks2020基于本体的金融知识图谱自动化构建技术评测第五名方法总结☆50Updated 2 years ago
- 2019语言与智能技术竞赛 信息抽取(Information Extraction) 个人baseline with BERT☆18Updated 5 years ago
- 2020语言与智能技术竞赛:事件抽取任务 -- 联合抽取baseline☆54Updated 4 years ago
- 2019 语言与智能技术竞赛-知识驱动对话 B榜第5名源码和模型☆25Updated 5 years ago
- Keras solution of simple Knowledge-Based QA task with Pretrained Language Model: supporting BERT/RoBERTa/ALBERT☆21Updated last year
- 瑞金医院知识图谱大赛总决赛第四名比赛攻略_megemini队☆34Updated 6 years ago
- OpenNRE for Chinese open relation extraction task in pytorch☆34Updated 2 years ago
- ☆38Updated 5 years ago
- 端到端的基于知识图谱的问答系统,分为实体识别和关系分类两部,在BERT基础上做多任务联合训练。☆30Updated 5 years ago
- CCF BDCI 金融信息负面及主体判定 冠军代码☆105Updated 5 years ago
- multi-label,classifier,text classification,多标签文本分类,文本分类,BERT,ALBERT,multi-label-classification,seq2seq,attention,beam search☆32Updated 2 years ago