Multimedia answering: enriching text QA with media information

@inproceedings{Nie2011MultimediaAE,
  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},
  booktitle={SIGIR},
  year={2011}
}
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
Highly Cited
This paper has 73 citations. REVIEW CITATIONS

22 Figures & Tables

Topics

Statistics

010202012201320142015201620172018
Citations per Year

73 Citations

Semantic Scholar estimates that this publication has 73 citations based on the available data.

See our FAQ for additional information.