Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

The interaction of Gα13 with integrin β1 mediates cell migration by dynamic regulation of RhoA.

Molecular biology of the cell·2015
Same author

Overcoming difficulty in diagnosis and differential diagnosis of Crohn's disease: the potential role of serological and genetic tests.

Expert review of molecular diagnostics·2015
Same author

The presence of primary sclerosing cholangitis in patients with ileal pouch anal- anastomosis is associated with an additional risk for vitamin D deficiency.

Gastroenterology report·2015
Same author

Perioperative Blood Transfusion and Postoperative Outcome in Patients with Crohn's Disease Undergoing Primary Ileocolonic Resection in the "Biological Era".

Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract·2015
Same author

Postoperative Fluid Overload is a Useful Predictor of the Short-Term Outcome of Renal Replacement Therapy for Acute Kidney Injury After Cardiac Surgery.

Medicine·2015
Same author

Intranuclear biophotonics by smart design of nuclear-targeting photo-/radio-sensitizers co-loaded upconversion nanoparticles.

Biomaterials·2015
Same journal

Dynamic analysis and reliable mechanical optimization application of ring HNN effected with a memristive neuron.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

DAFF-Net: A detection and search method for small-scale low surface brightness galaxies.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Quasi-synchronization for complex networks with hybrid pinning intermittent control.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Physics-encoded convolutional neural operators for parametric PDEs: A convergence-guaranteed framework via pre-computed kernel fields.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Exploiting audio-visual modalities in videos: Object detection via multi-stage bilateral coupling network.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Reliability-aware modality completion with cross-modal distillation for federated learning with missing modalities.

Neural networks : the official journal of the International Neural Network Society·2026
查看所有相关文章

相关实验视频

Updated: Jun 27, 2025

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.1K

TGIN:使用双相图推理网络进行文档级事件提取.

Yu Zhong1, Bo Shen1, Tao Wang1

  • 1School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China; Key Laboratory of Communication and Information Systems, Beijing Municipal Commission of Education, Beijing, China.

Neural networks : the official journal of the International Neural Network Society
|May 3, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了用于文档级事件提取的双相图推理网络 (TGIN). TGIN通过明确建模关键信息和减少无关实体的噪音来提高精度.

关键词:
注意力机制注意力机制文件级事件提取事件的提取.图形推断网络是图形推断网络.

更多相关视频

Generating Strictly Controlled Stimuli for Figure Recognition Experiments
05:39

Generating Strictly Controlled Stimuli for Figure Recognition Experiments

Published on: March 18, 2019

5.2K
A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

1.6K

相关实验视频

Last Updated: Jun 27, 2025

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.1K
Generating Strictly Controlled Stimuli for Figure Recognition Experiments
05:39

Generating Strictly Controlled Stimuli for Figure Recognition Experiments

Published on: March 18, 2019

5.2K
A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

1.6K

科学领域:

  • 自然语言处理自然语言处理.
  • 提取信息 提取信息
  • 人工智能的人工智能

背景情况:

  • 文档级事件提取具有挑战性,因为实体分散在多个句子中.
  • 现有的方法在隐式信息建模和不相关实体考虑方面扎,导致噪音和效率降低.
  • 对实体交互的有效建模对于准确的文档级事件提取至关重要.

研究的目的:

  • 提出一种新的双相图推理网络 (TGIN),以改进文档级事件提取.
  • 通过明确建模关键信息和减少无关实体影响来解决以前方法的局限性.
  • 为了提高从整个文档中提取事件记录的效率和精度.

主要方法:

  • 在第一阶段构建一个异质的文档级图表,以捕捉复杂的交互和获取文档意识特征.
  • 使用具有注意力机制的关键信息聚合器来明确聚合实体对的关键句子.
  • 在第二阶段构建实体级图,使用预测的实体链接作为先前信息来模型相关实体对之间的相互作用.

主要成果:

  • 拟议的TGIN框架在ChFinAnn数据集上显示出卓越的性能,用于文档级事件提取.
  • 明确汇总关键信息并专注于相关实体对,显著提高了提取精度.
  • 两相图推理方法有效地减少了事件提取中的错误传播和噪声.

结论:

  • 通过有效解决噪音和效率问题,TGIN方法在文档级事件提取方面取得了重大进展.
  • 通过双相图推理网络明确建模关键信息和实体交互,可以实现更高的提取性能.
  • 该框架为从非结构化文档中提取复杂事件记录提供了强大的解决方案.