creators_name: Tu, Xudong creators_name: Wang, Xin-Jing creators_name: Feng, Dan creators_name: Zhang, Lei type: conference_item datestamp: 2009-04-06 19:14:36 lastmod: 2009-04-07 14:03:14 metadata_visibility: show title: Ranking Community Answers via Analogical Reasoning ispublished: pub full_text_status: public pres_type: poster abstract: Due to the lexical gap between questions and answers, automatically detecting right answers becomes very challenging for community question-answering sites. In this paper, we propose an analogical reasoning-based method. It treats questions and answers as relational data and ranks an answer by measuring the analogy of its link to a query with the links embedded in previous relevant knowledge; the answer that links in the most analogous way to the new question is assumed to be the best answer. We based our experiments on 29.8 million Yahoo!Answer questionanswer threads and showed the effectiveness of the approach. date: 2009-04 pagerange: 1227-1227 event_title: 18th International World Wide Web Conference event_location: Madrid, Spain event_dates: April 20th-24th, 2009 event_type: conference refereed: TRUE citation: Tu, Xudong and Wang, Xin-Jing and Feng, Dan and Zhang, Lei (2009) Ranking Community Answers via Analogical Reasoning. In: 18th International World Wide Web Conference, April 20th-24th, 2009, Madrid, Spain. document_url: http://www2009.eprints.org/194/1/p1227.pdf