czy1999 / TKGQA_Competition_Baseline
多粒度时序知识图谱问答Baseline模型
☆20Updated last year
Alternatives and similar repositories for TKGQA_Competition_Baseline
Users that are interested in TKGQA_Competition_Baseline are comparing it to the libraries listed below
Sorting:
- albert-fc for LP(Link Prediction),中文实体链接预测☆19Updated 2 years ago
- R-GCN知识图谱推理☆28Updated 5 months ago
- 有关多任务学习的基于知识图谱的推荐系统和图谱补全(嵌入)联合训练的几篇论文复现☆49Updated 4 years ago
- 基于pytorch的CasRel进行三元组抽取。☆38Updated 2 years ago
- 关系抽取 calrel pytorch☆41Updated 3 years ago
- 自然语言处理的基础知识,术语抽取与关键词提取、知识图谱与图嵌入、检索与推荐等☆44Updated 2 years ago
- A novel pipeline framework for multi-hop complex KGQA task. It aims at Improving Multi-hop Embedded Knowledge Graph Question Answering by…☆47Updated 2 years ago
- ☆113Updated 10 months ago
- The code of An Empirical Study of Pre-trained Language Models in Simple Knowledge Graph Question Answering☆34Updated last year
- 实体关系联合抽取模型/ My project on joint exraction of entities and relations☆20Updated 3 years ago
- 阿里天池赛:CCKS2021 运营商知识图谱推理问答☆48Updated 3 years ago
- PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction☆120Updated 3 years ago
- Chinese entity relation extract☆12Updated last year
- The source code of the paper "OneRel: Joint Entity and Relation Extraction with One Module in One Step"☆54Updated 3 years ago
- Reimplement TransH mode☆56Updated 4 years ago
- Chinese entity relation extraction☆11Updated last year
- 基于LLM的命名实体识别和实体关系抽取☆17Updated last year
- Chinese entity relation extraction☆18Updated last year
- OneRel在中文关系抽取中的使用☆119Updated last year
- 基于知识图谱的疾病知识问答系统☆29Updated 4 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。☆34Updated last year
- TTMF: A Triple Trustworthiness Measurement Frame for Knowledge Graphs☆54Updated 5 years ago
- 利用python语言借助于知识图谱搭建电影知识问答系统☆47Updated 2 years ago
- 在某公司参与的知识图谱相关项目-代码与数据集☆39Updated 5 years ago
- CasRelPytorch项目的改写版本,根据源码增添了模型预测功能以及预测结果导入neo4j图数据库的功能。☆13Updated 9 months ago
- 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 2 years ago
- ☆36Updated 2 years ago
- 基于bert4keras开放领域的关系抽取☆20Updated 2 years ago
- CBLUE2.0-关系抽取模型,基于pytorch☆14Updated 6 months ago
- reimplement TransE Mode☆136Updated 4 years ago