As the volume of information available on the Internet increases, there is a growing need for tools helping users to find, filter and manage these resources. While more and more textual information is available online, effective retrieval is difficult without proper indexing and summarization of the content. One of the possible solutions to this problem is abstractive text summarization. The idea is to propose a system that will accept single document as input in English and processes the input by building a rich semantic graph and then reducing this graph for generating the final summary.
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Munot et al. (2015) studied this question.