document: Ranking community answers via analogical reasoning 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 question-answer threads and showed the effectiveness of the approach .
doc_bio_tags: O O O O B I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O