creators_name: Ni, Xiaochuan creators_name: Sun, Jian-Tao creators_name: Hu, Jian creators_name: Chen, Zheng type: conference_item datestamp: 2009-04-06 19:13:31 lastmod: 2009-04-07 14:03:02 metadata_visibility: show title: Mining Multilingual Topics from Wikipedia ispublished: pub full_text_status: public pres_type: poster abstract: In this paper, we try to leverage a large-scale and multilingual knowledge base, Wikipedia, to help effectively analyze and organize Web information written in different languages. Based on the observation that one Wikipedia concept may be described by articles in different languages, we adapt existing topic modeling algorithm for mining multilingual topics from this knowledge base. The extracted “universal” topics have multiple types of representations, with each type corresponding to one language. Accordingly, new documents of different languages can be represented in a space using a group of universal topics, which makes various multilingual Web applications feasible. date: 2009-04 pagerange: 1155-1155 event_title: 18th International World Wide Web Conference event_location: Madrid, Spain event_dates: April 20th-24th, 2009 event_type: conference refereed: TRUE citation: Ni, Xiaochuan and Sun, Jian-Tao and Hu, Jian and Chen, Zheng (2009) Mining Multilingual Topics from Wikipedia. In: 18th International World Wide Web Conference, April 20th-24th, 2009, Madrid, Spain. document_url: http://www2009.eprints.org/158/1/p1155.pdf