A Dual Attentive Neural Network Framework with Community Metadata for Answer Selection

  title={A Dual Attentive Neural Network Framework with Community Metadata for Answer Selection},
  author={Zhiqiang Liu and Mengzhang Li and Tianyu Bai and Rui Yan and Yan Zhang},
Nowadays the community-based question answering (cQA) sites become popular Web service, which have accumulated millions of questions and their associated answers over time. [] Key Method The representation of questions and answers are first learned by convolutional neural networks (CNNs). Then the DANN learns interactions of questions and answers, which is guided via user network structures and semantic matching of question topics with double attention. We evaluate the performance of our method on the well…


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