Chemical-induced disease relation extraction via convolutional neural network-Reference-Cited by-同舟云学术

Chemical-induced disease relation extraction via convolutional neural network

Published:2017-01-01 Issue: Volume:2017 Page:
ISSN:1758-0463
Container-title:Database
language:en
Short-container-title:

Author:

Gu Jinghang¹,Sun Fuqing²,Qian Longhua¹,Zhou Guodong¹

Affiliation:

1. School of Computer Science and Technology, Soochow University, 1 Shizi Street, Suzhou, China

2. Department of Gynecology Minimally Invasive Center, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, 17 Qihelou Street, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

Oxford University Press (OUP)

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,Information Systems

Link

http://academic.oup.com/database/article-pdf/doi/10.1093/database/bax024/19233027/bax024.pdf

Reference39 articles.

1. Understanding PubMed user search behavior through log analysis;Dogan;Database (Oxford),2009

2. PubMed and beyond: a survey of web tools for searching biomedical literature;Lu;Database (Oxford),2011

3. Semi-automatic semantic annotation of PubMed queries: a study on quality, efficiency, satisfaction;Neveol;J Biomed Inform,2011

4. Comparative toxicogenomics database: a knowledgebase and discovery tool for chemical-gene-disease networks;Davis;Nucleic Acids Res,2009

5. A CTD-Pfizer collaboration: manual curation of 88,000 scientific articles text mined for drug-disease and drug-phenotype interactions;David;Database (Oxford),2013

Cited by 63 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deconstructing reasoning paths and attending to semantic guidance for document-level relation extraction;Knowledge-Based Systems;2024-10

2. Advancing document-level relation extraction with a syntax-enhanced multi-hop reasoning network;Journal of Intelligent & Fuzzy Systems;2024-04-18

3. Surveying biomedical relation extraction: a critical examination of current datasets and the proposal of a new resource;Briefings in Bioinformatics;2024-03-27

4. Entity Fusion Contrastive Inference Network for Biomedical Document Relation Extraction;Communications in Computer and Information Science;2024

5. Multi-granularity Neural Networks for Document-Level Relation Extraction;Lecture Notes in Computer Science;2024