conference-paper
The Development and Model Comparison For Entity Relation Extraction Task
Research footprint
At a glance
- Citations
- 2
- References
- 16
- Comments
- 0
Paper overview
Abstract
Relation extraction is a popular topic in natural language processing. This survey will introduce several major relation extraction methods, from feature and kernel-based to neural networks. We will discuss the basic idea and the performance of these methods and hope that this article will give readers a general concept of relation extraction.
Record transparency
Publication details
- DOI
- 10.1109/cei52496.2021.9574503
- OpenAlex
- W3209177835
- Document type
- conference-paper
- Language
- EN
- Source
- 2021 IEEE International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology (CEI)
- Last metadata update
Comments
Log in to join the discussion.