dzy1011 / bert-bilstm-crf
pytorch
☆13Updated 5 years ago
Alternatives and similar repositories for bert-bilstm-crf:
Users that are interested in bert-bilstm-crf are comparing it to the libraries listed below
- ☆21Updated 3 years ago
- NER任务SOTA模型BERT_MRC☆60Updated 11 months ago
- Source code for ACL 2021 finding paper: CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction.☆80Updated 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
- 复现论文《Simplify the Usage of Lexicon in Chinese NER》☆42Updated 3 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
- TPlinker for NER 中文/英文命名实体识别☆122Updated 3 years ago
- Tplinker注释,中文数据集适配版本☆59Updated 4 years ago
- ACE 2005 corpus preprocessing for Event Extraction task☆50Updated 4 years ago
- ☆39Updated 2 years ago
- The code of CAIL2021 Machine Reading Comprehension.☆23Updated last year
- A Simple yet Effective Relation Information Guided Approach for Few-Shot Relation Extraction☆19Updated 2 years ago
- ☆41Updated 3 years ago
- ☆36Updated 4 years ago
- Code for Label Semantics for Few Shot Named Entity Recognition☆55Updated last year
- 论文复现《Named Entity Recognition as Dependency Parsing》☆129Updated 3 years ago
- PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction☆116Updated 3 years ago
- 嵌套命名实体识别 Nested NER☆19Updated 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
- 一个简单的中文事件抽取模型,触发词和实体联合标注识别,同时判定实体角色。☆72Updated 4 years ago
- GPLinker_pytorch☆80Updated 2 years ago
- 使用基于Transformer的预训练模型在ACE2005数据集上进行事件抽取任务☆157Updated 4 years ago
- bert实现中文NER☆30Updated 2 years ago
- ☆51Updated 4 years ago
- ccks2020 NER competitions☆116Updated 4 years ago
- ☆32Updated 2 years ago
- https://tianchi.aliyun.com/dataset/dataDetail?dataId=95414☆30Updated 3 years ago
- A system for CCKS2019-CKBQA, whose single system reach 0.69 and ensemble system reach 0.73☆40Updated 3 years ago
- Code for ACL 2021 paper. MECT: Multi-Metadata Embedding based Cross-Transformer for Chinese Named Entity Recognition.☆67Updated 3 years ago
- ☆162Updated 3 years ago