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本文引用的文献

1
Utilizing Entity-Based Gated Convolution and Multilevel Sentence Attention to Improve Distantly Supervised Relation Extraction.利用基于实体的门控卷积和多层次句子注意力提高远程监督关系抽取。
Comput Intell Neurosci. 2021 Nov 1;2021:6110885. doi: 10.1155/2021/6110885. eCollection 2021.

撤回：利用基于实体的门控卷积和多级句子注意力改进远程监督关系抽取

Retracted: Utilizing Entity-Based Gated Convolution and Multilevel Sentence Attention to Improve Distantly Supervised Relation Extraction.

作者信息

Intelligence And Neuroscience Computational

出版信息

Comput Intell Neurosci. 2023 Dec 13;2023:9826957. doi: 10.1155/2023/9826957. eCollection 2023.

DOI:10.1155/2023/9826957
PMID:38124871
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10732706/
Abstract

[This retracts the article DOI: 10.1155/2021/6110885.].

摘要

[本文撤回文章DOI: 10.1155/2021/6110885。]