Abstract
In order to overcome the shortcomings of the incomprehensive of traditional automatic summarization, this paper proposes the automatic multi-document summarization extraction method based on user’s query for web pages. The key technology in our method is the sentence importance weight calculation, which takes varieties of impact factors into account to score the candidate sentence importance weight in the retrieval results. These impact factors include the segmentation results weight, characteristics of sentence structure, length of sentence and the mutual information of search terms. On the basis of our method, this paper gives a description of the automatic summarization process. Then, the comparative experimental results show that our method is more effective on the Precision and Recall than others in abstract extraction.
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He, Q., Hao, HW., Yin, XC. (2012). Query-Based Automatic Multi-document Summarization Extraction Method for Web Pages. In: Gaol, F., Nguyen, Q. (eds) Proceedings of the 2011 2nd International Congress on Computer Applications and Computational Science. Advances in Intelligent and Soft Computing, vol 144. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28314-7_15
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DOI: https://doi.org/10.1007/978-3-642-28314-7_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28313-0
Online ISBN: 978-3-642-28314-7
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