A method of building Chinese field association knowledge from Wikipedia

Field association (FA) terms form a limited set of discriminating terms that give us the knowledge to identify document fields. The primary goal of this research is to make a system that can imitate the process whereby humans recognize the fields by looking at a few Chinese FA terms in a document. T...

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Bibliographic Details
Main Authors: Li Wang, Yata, S., Atlam, E.-s., Fuketa, M., Morita, K., Bando, H., Aoe, J.
Format: Conference Proceeding
Language:eng ; jpn
Subjects:
Chinese documents
Dictionaries
Feature fields
Field association terms
Field recognition
Humans
Information science
Intelligent structures
Intelligent systems
Internet
Knowledge engineering
Rockets
Systems engineering and theory
Wikipedia
Online Access:Request full text
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Description
Summary:Field association (FA) terms form a limited set of discriminating terms that give us the knowledge to identify document fields. The primary goal of this research is to make a system that can imitate the process whereby humans recognize the fields by looking at a few Chinese FA terms in a document. This paper proposes a new approach to build a Chinese FA terms dictionary automatically from Wikipedia. 104,532 FA terms are added in the dictionary. The resulting FA terms by using this dictionary are applied to recognize the fields of 5,841 documents. The average accuracy in the experiment is 92.04%. The results show that the presented method is effective in building FA terms from Wikipedia automatically.
DOI:10.1109/NLPKE.2009.5313781