Overview of Entity Relationship Extraction

Authors

  • Qinshan Huang

DOI:

https://doi.org/10.54097/jceim.v10i2.6384

Keywords:

Natural language processing, Entity relationship extraction, Deep learning

Abstract

Information extraction has become the mainstream direction of natural language processing, of which entity relationship extraction is one of the important components. This paper reviews the development history of entity-relationship extraction and explains the features related to entity-relationship extraction techniques; at the same time, it introduces some mainstream entity-relationship techniques, and finally provides an outlook on future entity-relationship extraction based on the development of deep learning.

References

Liu Suwen,Cheng Wei,Qian Longhua,Zhou Guodong. Combining relation extraction with function detection for BEL statement extraction.[J]. Database : the journal of biological databases and curation, 2019, 2019.

Xuefeng Wang,Ruopeng Yang,Yulong Feng,Dongsheng Li,Jianfeng Hou. A Military Named Entity Relation Extraction Approach Based on Deep Learning[P]. Algorithms, Computing and Artificial Intelligence, 2018.

Shengbin Jia, Shijia E, Maozhen Li, Yang Xiang. Chinese Open Relation Extraction and Knowledge Base Establishment [J]. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP),2018,17(3).

Wang Chuandong, Xu Jiao & Zhang Yong, A review of entity relation extraction. Computer Engineering and Applications, 2020. 56(12).

Han Hongqi et al. A term hierarchical relationship extraction method based on word form rule templates. Journal of Intelligence, 2013. 32(07).

Xu Q, Research on Chinese named entity relationship extraction based on lexical semantic information, 2016, Taiyuan University of Technology.

Wang Zheng, Zhu Lijun & Xu Shuo, A weakly supervised learning extraction method for entity relations. China Science and Technology Resource Guide, 2018. 50(02).

Huang X et al. Feature combination-based relationship extraction for Chinese entities. Microelectronics and Computers, 2010. 27(04).

Cao, Cady et al. A review of cluster analysis. Smart Health, 2016. 2(10).

Che, Wan-Xiang, Liu, Ting & Li, Sheng, Automatic extraction of entity relations. Chinese Journal of Informatics, 2005(02).

Gan, Lixin et al. Chinese entity relationship extraction based on syntactic semantic features. Computer Research and Development, 2016. 53(02).

Liu K et al, Weakly supervised relation extraction for Chinese healthcare based on convolutional neural networks. Computer Science, 2017. 44(10).

Xu Jin, Deep Learning-based Joint Extraction of Entity Relations, 2021, University of Electronic Science and Technology.

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Published

27-03-2023

Issue

Section

Articles

How to Cite

Huang, Q. (2023). Overview of Entity Relationship Extraction. Journal of Computing and Electronic Information Management, 10(2), 4-6. https://doi.org/10.54097/jceim.v10i2.6384