One of the important Natural Language Processing applications is Text Summarization,
which helps users to manage the vast amount of information available, by condensing …

Abstractive summarization is the technique of generating a summary of a text from its main
ideas, not by copying verbatim most salient sentences from text. This is an important and …

The amount of data available in the internet is increasing at a very high speed. Text
summarization has helped in making a better use of the information available online …

Text Summarization produces a shorter version of large text documents by selecting most
relevant information. Text summarization systems are of two types: extractive and …

This paper presents an extraction based single document text summarization technique
using Genetic Algorithms. A given document is represented as a weighted Directed Acyclic …

The goal of abstractive summarization of multi-documents is to automatically produce a
condensed version of the document text and maintain the significant information. Most of the …

Text Summarization is the task of extracting salient information from the original text
document. In this process, the extracted information is generated as a condensed report and …

Text Summarization is the process of creating a condensed form of text document which
maintains significant information and general meaning of source text. Automatic text …

Technology of automatic text summarization plays an important role in information retrieval
and text classification, and may provide a solution to the information overload problem. Text …

Text Summarization has always been an area of active interest in the academia. In recent
times, even though several techniques have being developed for automatic text …