Abstract
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.
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Lu, W., Lou, R., Dai, H., Zhang, Z., Yang, S., Wei, B. (2015). Taxonomy Induction from Chinese Encyclopedias by Combinatorial Optimization. In: Li, J., Ji, H., Zhao, D., Feng, Y. (eds) Natural Language Processing and Chinese Computing. NLPCC 2015. Lecture Notes in Computer Science(), vol 9362. Springer, Cham. https://doi.org/10.1007/978-3-319-25207-0_25
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DOI: https://doi.org/10.1007/978-3-319-25207-0_25
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