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 <http://www2009.eprints.org/view/author/Tu=3AXudong=3A=3A.html> and Wang, Xin-Jing <http://www2009.eprints.org/view/author/Wang=3AXin-Jing=3A=3A.html> and Feng, Dan <http://www2009.eprints.org/view/author/Feng=3ADan=3A=3A.html> and Zhang, Lei <http://www2009.eprints.org/view/author/Zhang=3ALei=3A=3A.html> (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