Paper: Unsupervised Synthesis of Multilingual Wikipedia Articles

ACL ID C10-1023
Title Unsupervised Synthesis of Multilingual Wikipedia Articles
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2010

In this paper, we propose an unsupervised approach to automatically synthesize Wikipedia articles in multiple languages. Taking an existing high-quality version of any entry as content guideline, we extract keywords from it and use the translated keywords to query the monolingual web of the target language. Candidate excerpts or sentences are selected based on an iterative ranking function and eventually synthesized into a complete article that resembles the reference version closely. 16 English and Chinese articles across 5 domains are evaluated to show that our algorithm is domain- independent. Both subjective evaluations by native Chinese readers and ROUGE-L scores computed with respect to standard reference articles demonstrate that synthesized articles outperform ...