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
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