Open AccessResearch on Relation Extraction of Computer Remote Supervision Based on Neural Network
Author(s) -
Qing Su
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1744/2/022066
Subject(s) - informatization , prosperity , relation (database) , computer science , artificial neural network , process (computing) , the internet , information extraction , task (project management) , order (exchange) , artificial intelligence , data science , data mining , world wide web , engineering , business , systems engineering , finance , political science , law , operating system
With the continuous prosperity of China’s computer Internet means and the continuous advancement of information process, we will find that the magnitude of some text information and resources in the network is doubling. A huge information base will be rebuilt in the vast network of our computers. In order to meet people’s more detailed information review, people put forward neural network. In the process of studying the informatization of relation extraction, people find that the concept of neural network can help to realize remote supervision and relationship extraction [1] . In fact, relation representation is an important connection theory between relation extraction and remote supervision. How to use neural network to effectively link and optimize the two has become the primary task and goal of current researchers.