概念抽取和概念关系挖掘文献讨论安排
来自Big Physics
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 |
| Measuring prerequisite relations among concepts | 邓招奇 | 2021-10-24 |
| Document-Level Definition Detection in Scholarly Documents: Existing Models, Error Analyses, and Future Directions | 骆慧颖 | 2021-10-31 |
| End-to-end Named Entity Recognition and Relation Extraction using Pre-trained Language Models | 焦奕霖 | 2021-11-07 |
| Span-based Joint Entity and Relation Extraction with Transformer Pre-training | 骆慧颖 | 2021-11-28 |
| DocRED: A Large-Scale Document-Level Relation Extraction Dataset | 宋玉鲲 | 2021-12-26 |
