%0 Journal Article
%T Answer Sequence Learning with Neural Networks for Answer Selection in Community Question Answering
%A Xiaoqiang Zhou
%A Baotian Hu
%A Qingcai Chen
%A Buzhou Tang
%A Xiaolong Wang
%J Computer Science
%D 2015
%I arXiv
%X In this paper, the answer selection problem in community question answering (CQA) is regarded as an answer sequence labeling task, and a novel approach is proposed based on the recurrent architecture for this problem. Our approach applies convolution neural networks (CNNs) to learning the joint representation of question-answer pair firstly, and then uses the joint representation as input of the long short-term memory (LSTM) to learn the answer sequence of a question for labeling the matching quality of each answer. Experiments conducted on the SemEval 2015 CQA dataset shows the effectiveness of our approach.
%U http://arxiv.org/abs/1506.06490v1