@article{MDD6E1598,
title = "Construction of Korean Knowledge Base Based on Machine Learning from Wikipedia",
journal = "Journal of KIISE, JOK",
year = "2015",
issn = "2383-630X",
doi = "",
author = "Seok-won Jeong,Maengsik Choi,Harksoo Kim",
keywords = "Knowledge base construction,Interlanguage matching,Machine learning",
abstract = "The performance of many natural language processing applications depends on the knowledge base as a major resource. WordNet, YAGO, Cyc, and BabelNet have been extensively used as knowledge bases in English. In this paper, we propose a method to construct a YAGO-style knowledge base automatically for Korean (hereafter, K-YAGO) from Wikipedia and YAGO. The proposed system constructs an initial K-YAGO simply by matching YAGO to info-boxes in Wikipedia. Then, the initial K-YAGO is expanded through the use of a machine learning technique. Experiments with the initial K-YAGO shows that the proposed system has a precision of 0.9642. In the experiments with the expanded part of K-YAGO, an accuracy of 0.9468 was achieved with an average macro F1-measure of 0.7596."
}