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Published in:
2015 | OriginalPaper | Chapter
Taxonomy Induction from Chinese Encyclopedias by Combinatorial Optimization
Authors : Weiming Lu, Renjie Lou, Hao Dai, Zhenyu Zhang, Shansong Yang, Baogang Wei
Published in: Natural Language Processing and Chinese Computing
Publisher: Springer International Publishing
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Taxonomy is an important component in knowledge bases, and it is an urgent, meaningful but challenging task for Chinese taxonomy construction. In this paper, we propose a taxonomy induction approach from a Chinese encyclopedia by using combinatorial optimizations. At first,
subclass-of
relations are derived by validating the relation between two categories. Then, integer programming optimizations are applied to find out
instance-of
relations from encyclopedia articles by considering the constrains among categories. The experimental results show that our approach can construct a practicable taxonomy from Chinese encyclopedias.