binzhouu / Ner_Based_On_Structured_Information
基于结构化信息(特征)的中文命名实体识别系统
☆10Updated 4 years ago
Alternatives and similar repositories for Ner_Based_On_Structured_Information:
Users that are interested in Ner_Based_On_Structured_Information are comparing it to the libraries listed below
- ☆15Updated 3 years ago
- 嵌套命名实体识别 Nested NER☆19Updated 3 years ago
- ccks2021事件抽取比赛☆30Updated 3 years ago
- 本项目是NLP领域一些任务的基准模型实现,包括文本分类、命名实体识别、实体关系抽取、NL2SQL、CKBQA以及BERT的各种下游任务应用。☆47Updated 3 years ago
- 中文事件抽取☆11Updated 3 years ago
- 基于bert4keras进行nlp工作,暂时包含文本分类,实体识别,实体关系抽取☆8Updated 3 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
- CCKS 2020:面向金融领域的小样本跨类迁移事件抽取。该项目实现基于MRC的事件抽取方法☆39Updated 2 years ago
- 基于Pytorch + BERT的抽取式机器阅读理解☆20Updated 2 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
- 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
- 关键词抽取项目☆24Updated 4 years ago
- ☆18Updated 2 years ago
- ccks金融事件主体抽取☆72Updated 4 years ago
- 通用kbqa,训练数据来源于ccks2018和2019,图谱数据爬取于百度百科☆24Updated 4 years ago
- BDCI2019-互联网金融新实体发现-第7名(本可top3)☆18Updated 5 years ago
- using lear to do ner extraction☆29Updated 2 years ago
- 使用多头的思想来进行命名实体识别☆33Updated 3 years ago
- pytorch Efficient GlobalPointer☆53Updated 2 years ago
- 百度2020语言与智能技术竞赛:事件抽取赛道方案代码☆53Updated 4 years ago
- 基于知识图谱的中文问答系统(EA-CKGQA)☆37Updated 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
- CCKS2020面向金融领域的小样本跨类迁移事件抽取baseline☆55Updated 2 years ago
- bert-flat 简化版 添加了很多注释☆15Updated 3 years ago
- NLP关系抽取:序列标注、层叠式指针网络、Multi-head Selection、Deep Biaffine Attention☆100Updated 3 years ago
- code for ACL2020:《FLAT: Chinese NER Using Flat-Lattice Transformer》 我注释&修改&添加了部分源码,使得大家更容易复现这个代码。☆56Updated 4 years ago
- 基于Adversarial Attack的问题等价性判别比赛☆13Updated 5 years ago
- 2020 “万创杯”中医药天池大数据竞赛——中药说明书实体识别挑战 复盘☆31Updated 3 years ago
- NLP实验:新词挖掘+预训练模型继续Pre-training☆47Updated last year
- 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