Reserach on Chemical Ernergencies Information Extraction Based on Multi Algorithm Fusion
CHEN Zhuo
ZHENG Shuai
Abstract：The chemical emergency information management is based on the requirements for the extraction of the effective chemical emergencies of certain information and the application in chemical emergency management.the method of multi algorithm fusion is put forward based on rule model and machine learning are combined to extract chemical emergencies information.First in order to extract the relevant information of some chemical emergencies,to extract the information of different formulated a series of different extraction rules,and then through a series of feedback,by using machine learning algorithm is the keyword extraction algo-rithm and the dependency syntactic parsing algorithm to extract rules to add modify,thereby optimizing the chemical burst event ex-traction algorithm.Finally,a large number of experiments show that the method has high accuracy,and the results are ideal.
Keywords：chemical emergenciesmulti algorithm fusioninformation extractionregular patternmachine learning
Publication Date：2018-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 264-269 )