概念抽取和概念关系挖掘文献讨论安排

来自Big Physics
Songyk讨论 | 贡献2021年10月17日 (日) 19:08的版本


文献列表详情见概念抽取和概念关系挖掘。 报告人可以从这里选择相关文献进行分享:KRLPapers Github项目,或自行查找相关文献。

建议报告人在本站创建新的页面并写下对所分享文献的总结评述。请在创建的页面中添加两个分类:文献讨论、概念抽取和概念关系挖掘。这里是一个例子:End-to-end Named Entity Recognition and Relation Extraction using Pre-trained Language Models.

以下是文献讨论安排表(持续更新中):

文献篇名 报告人 日期
Translating Embeddings for Modeling Multi-relational Data 宋玉鲲 2021-10-17
待定 待定 2021-10-24
Document-Level Definition Detection in Scholarly Documents: Existing Models, Error Analyses, and Future Directions 骆慧颖 2021-10-31
Span-based Joint Entity and Relation Extraction with Transformer Pre-training 骆慧颖 待定
End-to-end Named Entity Recognition and Relation Extraction using Pre-trained Language Models 待定 待定
Linguistic regularities in continuous space word representations 待定 待定
Relation extraction with matrix factorization and universal schemas 待定 待定
Connecting language and knowledge bases with embedding models for relation extraction 待定 待定
A Review of Relational Machine Learning for Knowledge Graphs 待定 待定