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WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
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Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
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MM '08 Proceedings of the 16th ACM international conference on Multimedia
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EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
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EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
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Proceedings of the 20th ACM international conference on Multimedia
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ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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ACM Transactions on Information Systems (TOIS)
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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 community-contributed answer, our approach is able to determine which type of media information should be added, and then automatically collects data from Internet to enrich the textual answer. Different from some efforts that attempt to directly answer questions with image and video data, our approach is built based on the community-contributed textual answers and thus it is more feasible and able to deal with more complex questions. We have conducted empirical study on more than 3,000 QA pairs and the results demonstrate the effectiveness of our approach.