Integrating shortest dependency path and sentence sequence into a deep learning framework for relation extraction in clinical text

机译：将最短依赖路径和句子序列集成到深度学习框架中以提取临床文本中的关系

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摘要

BackgroundExtracting relations between important clinical entities is critical but very challenging for natural language processing (NLP) in the medical domain. Researchers have applied deep learning-based approaches to clinical relation extraction; but most of them consider sentence sequence only, without modeling syntactic structures. The aim of this study was to utilize a deep neural network to capture the syntactic features and further improve the performances of relation extraction in clinical notes.

机译：背景技术提取重要临床实体之间的关系至关重要，但对于医学领域的自然语言处理（NLP）却非常具有挑战性。研究人员已经将基于深度学习的方法应用于临床关系提取。但是他们大多数只考虑句子序列，而没有对句法结构进行建模。这项研究的目的是利用深层神经网络捕捉语法特征，并进一步改善临床笔记中关系提取的性能。

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期刊名称 BMC Medical Informatics and Decision Making
作者
Zhiheng Li; Zhihao Yang; Chen Shen; Jun Xu; Yaoyun Zhang; Hua Xu;
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作者单位

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年(卷),期 2019(19),Suppl 1
年度 2019
页码 22
总页数 8
原文格式 PDF
正文语种
中图分类情报学;
关键词
Relation extraction - deep learning Shortest dependency path;

机译：关系提取-深度学习;最短依赖路径;

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专利

1. Integrating shortest dependency path and sentence sequence into a deep learning framework for relation extraction in clinical text [J] . Zhiheng Li, Zhihao Yang, Chen Shen, BMC Medical Informatics and Decision Making . 2019,第1期

机译：将最短依赖路径和句子序列集成到深度学习框架中，以提取临床文本中的关系
2. A Shortest Dependency Path Based Convolutional Neural Network for Protein-Protein Relation Extraction [J] . Lei Hua, Chanqin Quan BioMed research international . 2016,第10期

机译：基于最短的依赖性路径基于蛋白质 - 蛋白质关系提取的卷积神经网络
3. Drug-drug interaction extraction via hierarchical RNNs on sequence and shortest dependency paths [J] . Zhang Yijia, Zheng Wei, Lin Hongfei, Bioinformatics . 2018,第5期

机译：通过序列和最短依赖路径的分层RNN来提取药物 - 药物相互作用
4. Improving Semantic Relation Extraction System with Compositional Dependency Unit on Enriched Shortest Dependency Path [C] . Duy-Cat Can, Hoang-Quynh Le, Quang-Thuy Ha Asian conference on intelligent information and database systems . 2019

机译：丰富最短依赖路径上基于成分依赖单元的语义关系抽取系统的改进
5. The interaction of images and text during comprehension of garden-path sentences: Is integration better than good enough? [D] . Palmer, Cassie Marie. 2015

机译：理解花园路径句子期间图像和文本的交互作用：集成好于足够好吗？
6. A Shortest Dependency Path Based Convolutional Neural Network for Protein-Protein Relation Extraction [O] . Lei Hua, Chanqin Quan 2006

机译：基于最短依赖路径的卷积神经网络用于蛋白质-蛋白质关系提取
7. Relation Extraction from Biomedical and Clinical Text: Unified Multitask Learning Framework [O] . Shweta Yadav, Srivastsa Ramesh, Sriparna Saha, 2020

机译：生物医学与临床文本的关系提取：统一多任务学习框架

Integrating shortest dependency path and sentence sequence into a deep learning framework for relation extraction in clinical text

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