With the rapid growth of social media platforms, digitization of official records, and digital
publication of articles, books, magazines, and newspapers, lots of data are generated every …

Enormous amount of online information, available in legal domain, has made legal text
processing an important area of research. In this paper, we attempt to survey different text …

Automatic text summarization attempts to provide an effective solution to today's
unprecedented growth of textual data. This paper proposes an innovative graph-based text …

In the last two decades, the text summarization task has gained much importance because
of the large amount of online data, and its potential to extract useful information and …

Automatic text summarization schemes are indeed helpful for glancing briefly at the text
document. With this motivation, we introduce here a two-stage hybrid model for text …

With the tremendous growth in the number of electronic documents, it is becoming
challenging to manage the volume of information. Much research has focused on …

Text summarization is a process of generating a brief version of documents by preserving
the fundamental information of documents as much as possible. Although most of the text …

Today, due to a vast amount of textual data, automated extractive text summarization is one
of the most common and practical techniques for organizing information. Extractive …

Text summarization is the process of generating a brief version of a text that preserves the
salient information of the text. For information retrieval, it is a good dimension reduction …

Abstractive text summarization using attentional recurrent neural network (sequence-to-
sequence) models have proven to be very effective. In this paper, a novel hybrid approach is …