解读《Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation》论文 - 代码天地

解读《Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation》论文

编程语言 2023-04-07 23:51:15 阅读次数: 0

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转载自blog.csdn.net/weixin_41377182/article/details/124668330

解读《Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation》论文

论文阅读《Document-level Relation Extraction as Semantic Segmentation》（2021，DocRED最新SOTA）

A sequence-to-sequence approach for document-level relation extraction

Ensemble Neural Relation Extraction with Adaptive Boosting

论文阅读课5-DocRED: A Large-Scale Document-Level Relation Extraction Dataset(大规模文档集关系提取数据集

论文阅读课2-Inter-sentence Relation Extraction with Document-level （GCNN，句间关系抽取，ACL2019

论文解读：Decoupled Knowledge Distillation

[论文解读]Explaining Knowledge Distillation by Quantifying the Knowledge

论文阅读 | ACL2019 Chinese Relation Extraction with Multi-Grained Information and External Linguistic Knowledge

论文阅读课8-Chinese Relation Extraction with Multi-Grained Information and External Linguistic Knowledge

论文解读：Combining Distant and Direct Supervision for Neural Relation Extraction

论文(4) Focal Loss

论文(3) Focal Loss

Focal loss论文详解

论文阅读|Focal loss

Focal Loss解读

论文解读：（TransR）Learning Entity and Relation Embeddings for Knowledge Graph Completion

论文解读：Denoising Distant Supervision for Relation Extraction via Instance-Level Adversarial Training

论文解读：（TransA）TransA: An Adaptive Approach for Knowledge Graph Embedding

论文解读：（TranSparse）Knowledge Graph Completion with Adaptive Sparse Transfer Matrix

Focal Loss论文解读和调参教程

Generalized Focal Loss V1论文解读

Focal Loss论文阅读笔记

Focal Loss（RetinaNet）论文阅读

【转载】Focal loss论文详解

RetinaNet论文总结（Focal Loss）

关系抽取（Relation Extraction）论文合集

论文阅读课4-Long-tail Relation Extraction via Knowledge Graph Embeddings（GCN,关系抽取，2019，远程监督，少样本不平衡，2注意

知识蒸馏之Focal and Global Knowledge Distillation for Detectors

Focal and Global Knowledge Distillation for Detectors（CVPR 2022）原理与代码解析

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