This paper presents an approach for detecting promotional content in Wikipedia. By incorporating stylometric features, including features based on n-gram and PCFG language models, we demonstrate improved accuracy at identifying promotional articles, compared to using only lexical information and meta-features.

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In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing (EMNLP 2013), pp. 1851--1857, Seattle, WA, October 2013.

@inproceedings{bhosale:emnlp13, title={Detecting Promotional Content in Wikipedia}, author={Shruti Bhosale and Heath Vinicombe and Raymond J. Mooney}, booktitle={Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing (EMNLP 2013)}, month={October}, address={Seattle, WA}, pages={1851--1857}, url="http://www.cs.utexas.edu/users/ai-labpub-view.php?PubID=127401", year={2013} }

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