Multimedia answering: enriching text QA with media information

  title={Multimedia answering: enriching text QA with media information},
  author={Liqiang Nie and Meng Wang and Zheng-Jun Zha and Guangda Li and Tat-Seng Chua},
Existing community question-answering forums usually provide only textual answers. However, for many questions, pure texts cannot provide intuitive information, while image or video contents are more appropriate. In this paper, we introduce a scheme that is able to enrich text answers with image and video information. Our scheme investigates a rich set of techniques including question/answer classification, query generation, image and video search reranking, etc. Given a question and the… CONTINUE READING
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