| Issue |
MATEC Web Conf.
Volume 189, 2018
2018 2nd International Conference on Material Engineering and Advanced Manufacturing Technology (MEAMT 2018)
|
|
|---|---|---|
| Article Number | 03025 | |
| Number of page(s) | 7 | |
| Section | Cloud & Network | |
| DOI | https://doi.org/10.1051/matecconf/201818903025 | |
| Published online | 10 August 2018 | |
High-order neural network in entity relationship extraction
National Digital Switching System Engineering & Technological Research Center, China
Corresponding author: wliu.ndsc@gmail.com
In this paper, a kind of high-order neural network is proposed to extract entity relations in natural language. In this kind of network, different parameters absorb non-overlapping information from separated data respectively, which makes parameters more significant for understanding. This neural network can alleviate overfitting problem in some degree. When solving the task of entity relationship extraction, this network can give a result no worse than current methods.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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