School of Electronics Engineering and Computer Science, Peking University, Beijing, China,Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China;
Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China;
Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China;
School of Electronics Engineering and Computer Science, Peking University, Beijing, China;
School of Electronics Engineering and Computer Science, Peking University, Beijing, China;
机译:基于新型LSTM和注意力机制的双向神经网络,用于社区问答中的答案选择
机译:循环卷积神经网络用于社区问答中的答案选择
机译:使用神经网络学习语义表示以进行社区问答检索
机译:与社区元数据进行双重关注神经网络框架,用于答案选择
机译:使用递归神经网络对链接数据进行基于模板的问题回答
机译:双注意力递归卷积神经网络用于答案选择
机译:用神经网络学习答案序列学习 社区问题回答