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- W2798519783 abstract "Document Summarization is the way towards reducing a text report with a program withholding the essential points in the document. Thousands of electronic records are created and made accessible on the web every day. In this paper, we present a method for generating extraction based summaries using a stack based formulation. The stack based method uses a sentence importance score calculator based on various semantic features and a semantic similarity score to select sentences that are the most representative of the document. It uses stack-decoder algorithm as a template and builds on it to produce summaries that are closer to optimal. These approaches are used to generate a 100-word summary for the dataset available as part of DUC 2004. The paper discusses the system developed, algorithms used and their analysis along with improvements. N-gram analysis scores obtained are comparable to other participants in the competition." @default.
- W2798519783 created "2018-05-07" @default.
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- W2798519783 date "2017-11-01" @default.
- W2798519783 modified "2023-09-25" @default.
- W2798519783 title "Multiple data document summarization" @default.
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- W2798519783 doi "https://doi.org/10.1109/infocomtech.2017.8340602" @default.
- W2798519783 hasPublicationYear "2017" @default.
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