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Statistical and Analytical Study of Guided Abstractive Text Summarization
2016
Current Science
Abstractive summarization is the process of creating a condensed version of the given text document by collating only the important information in it. It also involves structuring the information into sentences that are simple and easy to understand. This paper presents the process that generates an abstractive summary by focusing on a unified model with attribute based Information Extraction (IE) rules and class based templates. Term Frequency/Inverse Document Frequency (TF/IDF) rules are used
doi:10.18520/cs/v110/i1/65-68
fatcat:3zomonyy6zdm3fhfd4syzw635u