Text summarization is the process of condensing a long text into a shorter version by
maintaining the key information and its meaning. Automatic text summarization can save …

With the evolution of the Internet and multimedia technology, the amount of text data has
increased exponentially. This text volume is a precious source of information and knowledge …

Text summarization is a process of extracting salient information from a source text and
presenting that information to the user in a condensed form while preserving its main …

In paper, we propose an unsupervised text summarization model which generates a
summary by extracting salient sentences in given document (s). In particular, we model text …

In the recent few years, a lot of advancement has been made in Urdu linguistics. There are
many portals and news websites that are generating a huge amount of data every day …

In this research, we propose the use of Particle Swarm Optimization (PSO) algorithm for the
extraction of summaries for single Arabic documents. The PSO approach is compared with …

Automatic text summarization is the process of generating or extracting a brief
representation of an input text. There are several algorithms for extractive summarization in …

Due to the exponential growth of documents on internet, users want all the relevant data at
one place without any hassle. This led to the growth of Automatic Text Summarization. For …

Automatic text summarization plays a vital role in text retrieval. However, very little interest,
as well as attention to Hindi text summarization and the wide use of hybridization of an …

In this paper, we propose a hybrid approach for sentence paraphrase identification. The
proposal addresses the problem of evaluating sentence-to-sentence semantic similarity …