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For summarization purposes, objects from the specified classes will be represented in the graph by a single node, in the form of a hexagon.
This may be required for limiting the usage of resources, for instance transmission bandwidth or storage memory; for summarization purposes; or even for relieving the user from information overload.
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Multiple sources can produce stories about the same event which may be grouped for summarization and mining [71] purposes as has been described in [72].
The performance parameters for summarization process are then evaluated to measure the performance of proposed summarizer.
The purpose of this stage is to group the similar text document for making it ready for summarization and ensures that all the similar set of documents participates as a group in summarization process.
Fig. 8 Multiple representations for summarization.
Single-document summarization is easy to handle since only one text document needs to be analyzed for summarization, whereas handling multi-document summarization is a complex and difficult task.
The impact of clustering for summarization of large text collection is also demonstrated in this work.
ROUGE unigram gives better results for summarization as compared to the ROUGE bigram approach.
RMA algorithm was applied for summarization, and the normalization was performed by the quantile method.
However, patient records offer a significantly different 'document context' for summarization research.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com