Tailoring text for automatic layouting of newspaper pages

11 years 5 months ago
Tailoring text for automatic layouting of newspaper pages
We consider layouting news articles on a page as a cutting and packing problem with output maximization. We propose to tailor news articles by employing automatic summarization to find new solutions for the packing problem. Tailoring text items allows us to use an efficient -approximate greedy layouting algorithm, which scales well for larger data sets, to explore the search space. We also propose a function for adjusting the value of summarized articles. Our results show that the overall solution value as well as the individual quality of articles are notably improved, with the solution value in some cases even exceeding the optimum score achievable by an exhaustive search without summarization.
Leonhard Hennig, Thomas Strecker
Added 05 Nov 2009
Updated 05 Nov 2009
Type Conference
Year 2008
Where ICPR
Authors Leonhard Hennig, Thomas Strecker
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