gaohongkui / TPLinker-NER
TPlinker for NER 中文/英文命名实体识别
☆122Updated 3 years ago
Alternatives and similar repositories for TPLinker-NER:
Users that are interested in TPLinker-NER are comparing it to the libraries listed below
- Tplinker注释,中文数据集适配版本☆59Updated 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
- GPLinker_pytorch☆80Updated 2 years ago
- lic2020关系抽取比赛,使用Pytorch实现苏神的模型。☆102Updated 4 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
- 复现论文《Simplify the Usage of Lexicon in Chinese NER》☆42Updated 3 years ago
- 全局指针统一处理嵌套与非嵌套NER☆253Updated 3 years ago
- NER任务SOTA模型BERT_MRC☆60Updated 10 months ago
- 论文复现《Named Entity Recognition as Dependency Parsing》☆128Updated 3 years ago
- GlobalPointer的优化版/NER实体识别☆114Updated 3 years ago
- ccks2020 NER competitions☆116Updated 4 years ago
- 基于词汇信息融合的中文NER模型☆164Updated 2 years ago
- pytorch Efficient GlobalPointer☆53Updated 2 years ago
- 百度2021年语言与智能技术竞赛多形态信息抽取赛道关系抽取部分torch版baseline☆51Updated 3 years ago
- Knowledge Graph☆170Updated 2 years ago
- CMeEE/CBLUE/NER实体识别☆125Updated 2 years ago
- ☆18Updated 2 years ago
- OneRel在中文关系抽取中的使用☆116Updated last year
- 嵌套命名实体识别 Nested NER☆19Updated 3 years ago
- 基于GlobalPointer的实体/关系/事件抽取☆145Updated 2 years ago
- Pytorch reimplement of the paper "A Novel Cascade Binary Tagging Framework for Relational Triple Extraction" ACL2020. The original code i…☆202Updated 4 years ago
- 支持百度竞赛数据的中文事件抽取,支持ace2005数据的英文事件抽取,本人将苏神的三元组抽取算法中的DGCNN改成了事件抽取任务,并将karas改成了本人习惯使用的pytorch,在数据加载处考虑了各种语言的扩展☆48Updated 4 years ago
- 使用torch整合两种经典的指针NER抽取范式,分别是SpanBert和苏神的GlobalPointer,简单加了些tricks,配置后一键运行☆131Updated 8 months ago
- https://tianchi.aliyun.com/dataset/dataDetail?dataId=95414☆30Updated 3 years ago
- 2020语言与智能技术竞赛:关系抽取任务☆65Updated 4 years ago
- CMeIE/CBLUE/CHIP/实体关系抽取/SPO抽取☆221Updated 2 years ago
- 基于bert_mrc的中文命名实体识别☆43Updated 2 years ago
- 面向金融领域的篇章级事件抽取和事件因果关系抽取 第六名 方案及代码☆61Updated 2 years ago
- albert + lstm + crf实体识别,pytorch实现。识别的主要实体是人名、地名、机构名和时间。albert + lstm + crf (named entity recognition)☆136Updated 2 years ago
- 本项目采用PyTorch和transformers模块实现英语序列标注,其中对BERT进行微调。☆19Updated 3 years ago