A method of building Chinese field association knowledge from Wikipedia
|A method of building Chinese field association knowledge from Wikipedia|
|Author(s)||Wang L., Yata S., Atlam E.-S., Fuketa M., Morita K., Bando H., Aoe J.-I.|
|Published in||2009 International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2009|
|Keyword(s)||Chinese documents, Feature fields, Field association terms, Field recognition, Wikipedia (Extra: Chinese documents, FA terms dictionary, Field association terms, In-buildings, New approaches, Wikipedia, Computational linguistics, Natural language processing systems, Knowledge engineering)|
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A method of building Chinese field association knowledge from Wikipedia is a 2009 conference paper written in English by Wang L., Yata S., Atlam E.-S., Fuketa M., Morita K., Bando H., Aoe J.-I. and published in 2009 International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2009.
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.
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