194 4 archive disk0/00/00/01/94 2009-04-06 19:14:36 2009-04-07 14:03:14 2009-04-06 19:14:36 conference_item show 0 Tu Xudong HuaZhong University of Science and Technology Wang Xin-Jing Microsoft Research Asia Feng Dan HuaZhong University of Science and Technology Zhang Lei Microsoft Research Asia Poster Session Ranking Community Answers via Analogical Reasoning pub public poster 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. 2009-04 1227-1227 18th International World Wide Web Conference Madrid, Spain April 20th-24th, 2009 conference TRUE 194 4 194 1 application/pdf en public
p1227.pdf
published p1227.pdf 920294 http://www2009.eprints.org/194/1/p1227.pdf