论文阅读笔记－CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases
CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases 文章综述 本文主要解决在远程监督的过程中面临的三大挑战：需要事先训练的命名实体抽取器限制了领域的扩展；讲实体抽取和关系抽取分开导致错误的传递累计、在远程监督当中面临的标签噪声问题（远程监督假设失效问题）。本文通过利用实体和关系的联合抽取来解决这
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相关文章
- 1. 实体-关系联合抽取：CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases
- 2. Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy (ECAI2020)
- 3. [IJCAI-ECAI2018]Joint Extraction of Entities and Relations Based on a Novel Graph Scheme
- 4. 阅读笔记 Joint Event and Temporal Relation Extraction with Shared Representations and Structured ...
- 5. 【论文笔记】Discrete-State Variational Autoencoders for Joint Discovery and Factorization of Relations
- 6. Joint Training of Candidate Extraction and Answer Selection for Reading Comprehension 论文阅读笔记
- 7. 【论文阅读笔记】Span-based Joint Entity and Relation Extraction with Transformer Pre-training
- 8. embedding entities and relations for learning and inference knowledge base
- 9. 【论文阅读笔记】Linguistic Knowledge and Transferability of Contextual Representations
- 10. EMNLP2020 | 近期必读Relation Extraction精选论文