taishan1994 / SpERT_chinese
基于论文SpERT: "Span-based Entity and Relation Transformer"的中文关系抽取,同时抽取实体、实体类别和关系类别。
☆33Updated 2 years ago
Alternatives and similar repositories for SpERT_chinese:
Users that are interested in SpERT_chinese are comparing it to the libraries listed below
- Bert + PCNN and PCNN 中文关系抽取任务☆17Updated 2 years ago
- 基于pytorch的CasRel进行三元组抽取。☆38Updated 2 years ago
- 使用BERT-BiLSTM+CRF进行ner任务(pytorch_lightning版)☆43Updated 2 years ago
- 该项目是自己做的一些nlp的实验,包括命名实体识别、实体关系抽取和事件抽取,未来会持续更新。☆30Updated last year
- 实体关系联合抽取模型/ My project on joint exraction of entities and relations☆20Updated 2 years ago
- OneRel在中文关系抽取中的使用☆118Updated last year
- Chinese entity relation extraction☆18Updated 9 months ago
- CBLUE2.0-关系抽取模型,基于pytorch☆12Updated 3 months ago
- 基于UIE的小样本中文肺部CT病历实体关系抽取方法☆19Updated last year
- The source code of the paper "OneRel: Joint Entity and Relation Extraction with One Module in One Step"☆55Updated 2 years ago
- 利用BERT+BILSTM/DGCNN+ATTENTION+CRF 解决中文NER任务☆34Updated 2 years ago
- 基于pytorch+bert的中文关系抽取☆28Updated 3 years ago
- 利用指针网络进行信息抽取,包含命名实体识别、关系抽取、事件抽取。☆123Updated last year
- 嵌套命名实体识别 Nested NER☆19Updated 3 years ago
- PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction☆116Updated 3 years ago
- ☆21Updated 3 years ago
- 使用bert进行事件抽取。☆42Updated last year
- 实体关系抽取,使用了百度比赛的数据集。使用pytorch实现MultiHeadJointEntityRelationExtraction,包含Bert、Albert、gru的使用,并且添加了对抗训练。最后使用Flask和Neo4j图数据库对模型进行了部署☆120Updated last year
- 这是2022年生医杯中文电子病历命名实体识别与关系抽取的项目☆25Updated 2 years ago
- 基于bert_mrc的中文命名实体识别☆43Updated 2 years ago
- CHIP 2020 中文医学文本实体关系抽取☆87Updated 2 years ago
- GlobalPoiner中文医疗文本嵌套与非嵌套医疗文本命名实体识别实验☆13Updated 2 years ago
- GPLinker_pytorch☆80Updated 2 years ago
- ☆39Updated 2 years ago
- 基于BERT-MRC(阅读理解)的命名实体识别模型☆19Updated 2 years ago
- 使用R-BERT模型对人物关系模型进行分类,效果有显著提升。☆24Updated last year
- pytorch实现 基于Bert+BiLSTM+CRF的中文命名实体识别☆42Updated 3 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
- [Unofficial] Predict code for AAAI 2022 paper: Unified Named Entity Recognition as Word-Word Relation Classification☆52Updated 2 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