Difference between revisions of "A Method of Building Chinese Field Association Knowledge from Wikipedia"
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| − | '''A Method of Building Chinese Field Association Knowledge from Wikipedia''' - scientific work related to Wikipedia quality published in 2009, written by Li Wang, Susumu Yata, El-Sayed Atlam, Masao Fuketa, Kazuhiro Morita, Hiroaki Bando and Jun-ichi Aoe. | + | '''A Method of Building Chinese Field Association Knowledge from Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2009, written by [[Li Wang]], [[Susumu Yata]], [[El-Sayed Atlam]], [[Masao Fuketa]], [[Kazuhiro Morita]], [[Hiroaki Bando]] and [[Jun-ichi Aoe]]. |
== Overview == | == Overview == | ||
| − | 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. | + | 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. |
Revision as of 10:44, 14 May 2020
A Method of Building Chinese Field Association Knowledge from Wikipedia - scientific work related to Wikipedia quality published in 2009, written by Li Wang, Susumu Yata, El-Sayed Atlam, Masao Fuketa, Kazuhiro Morita, Hiroaki Bando and Jun-ichi Aoe.
Overview
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.
