eillsu / Brat-Chinese-Translation
brat 文本标注系统的官方文档中文翻译
☆15Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for Brat-Chinese-Translation
- ACE 2005 corpus preprocessing for Event Extraction task☆49Updated 4 years ago
- ☆62Updated 10 months ago
- lic2020关系抽取比赛,使用Pytorch实现苏神的模型。☆102Updated 4 years ago
- 搜索所有中文NLP数据集,附常用英文NLP数据集☆14Updated 4 years ago
- Chinese Named Entity Recognition Using Neural Network☆29Updated 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☆52Updated 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 3 years ago
- ☆36Updated 4 years ago
- ☆29Updated 5 years ago
- ACE2005事件抽取数据预处理☆55Updated 4 years ago
- Relation Classificaton based on information enhanced BERT☆27Updated 3 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
- 使用多头的思想来进行命名实体识别☆33Updated 3 years ago
- Release for ECAI 2020 paper "Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy"☆160Updated 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
- 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
- Source code of the paper "Attention as Relation: Learning Supervised Multi-head Self-Attention for Relation Extraction, IJCAI 2020."☆28Updated 4 years ago
- An idea that take advantages of features of deep learning to use unannotated samples for NER and identify sequences with error labels.☆15Updated 9 months ago
- 实体链接demo☆64Updated 5 years ago
- Codes for the paper Bipartite Flat-Graph Network for Nested Named Entity Recognition☆64Updated 4 years ago
- Source code for ACL 2021 finding paper: CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction.☆80Updated 2 years ago
- CCKS2020 面向中文短文本的实体链指任务。主要思路为:使用基于BiLSTM和Attention的语义模型进行Query和Doc的文本匹配,再针对匹配度进行pairwise排序,从而选出最优的知识库实体。☆46Updated 3 years ago
- 科大讯飞事件抽取挑战赛2020Top1☆25Updated 4 years ago
- Effective Cascade Dual-Decoder Model for Joint Entity and Relation Extraction.☆17Updated 2 years ago
- ☆27Updated last year
- A system for CCKS2019-CKBQA, whose single system reach 0.69 and ensemble system reach 0.73☆41Updated 3 years ago
- 使用LSTM进行端到端的语义角色标注(theano)☆54Updated 4 years ago
- PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction☆111Updated 3 years ago
- 使用ACE2005创建以事件和实体为节点的事件知识图谱,用于智能问答☆15Updated 4 years ago