【论文笔记】DocRED: A Large-Scale Document-Level Relation Extraction Dataset

时间 2020-01-31

标签论文笔记 docred large scale document level relation extraction dataset 栏目 CSS 繁體版

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DocRED: A Large-Scale Document-Level Relation Extraction Dataset 笔者自述： DocRED主要是提出了一个全新的数据集，以往的Relation Extraction主要集中在 single sentence之中的(intra-sentence)，而有些event或者说relation并不只仅narrow在这个范围，能够会跨越好几个句子

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1. DocRED: A Large-Scale Document-Level Relation Extraction Dataset 阅读笔记
2. 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
3. Cross-relation Cross-bag Attention for Distantly-supervised Relation Extraction 论文笔记
4. 论文浅尝 | Global Relation Embedding for Relation Extraction
5. 论文笔记（9）：Large Scaled Relation Extraction with Reinforcement Learning
6. 论文笔记7：Simple Algorithms for Complex Relation Extraction with Applications to Biomedical IE
7. 《A Hierarchical Framework for Relation Extraction with Reinforcement Learning》论文整理
8. Open Relation Extraction: Relational Knowledge Transfer论文解析
9. 论文笔记：Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks
10. 【论文笔记】Noise Mitigation for Neural Entity Typing and Relation Extraction
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1. DocRED: A Large-Scale Document-Level Relation Extraction Dataset 阅读笔记
2. 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
3. Cross-relation Cross-bag Attention for Distantly-supervised Relation Extraction 论文笔记
4. 论文浅尝 | Global Relation Embedding for Relation Extraction
5. 论文笔记（9）：Large Scaled Relation Extraction with Reinforcement Learning
6. 论文笔记7：Simple Algorithms for Complex Relation Extraction with Applications to Biomedical IE
7. 《A Hierarchical Framework for Relation Extraction with Reinforcement Learning》论文整理
8. Open Relation Extraction: Relational Knowledge Transfer论文解析
9. 论文笔记：Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks
10. 【论文笔记】Noise Mitigation for Neural Entity Typing and Relation Extraction

>>更多相关文章<<