Autopedia: automatic domain-independent Wikipedia article generation

Authors:
Conglei Yao;Xu Jia;Sicong Shou;Shicong Feng;Feng Zhou;Hongyan Liu
Affiliations:
HP Labs China, Beijing, China;Renmin University of China, Beijing, China;Peking University, Beijing, China;HP Labs China, Beijing, China;Beijing University of Technology, Beijing, China;School of Economics and Management, Beijing, China
Venue:
Proceedings of the 20th international conference companion on World wide web
Year:
2011

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Abstract

This paper proposes a general framework, named Autopedia, to generate high-quality wikipedia articles for given concepts in any domains, by automatically selecting the best wikipedia template consisting the sub-topics to organize the article for the input concept. Experimental results on 4,526 concepts validate the effectiveness of Autopedia, and the wikipedia template selection approach which takes into account both the template quality and the semantic relatedness between the input concept and its sibling concepts, performs the best.