Conglei Yao
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.
- P. Turney. Mining the Web for Synonyms: PMI-IR versus LSA on TOEFL. In Proceedings of the twelfth european conference on machine learning (ecml-2001), pages 491--502, 2001. Google Scholar
Digital Library
Index Terms
- Autopedia: automatic domain-independent Wikipedia article generation
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