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 …

The scientific research process generally starts with the examination of the state of the art,
which may involve a vast number of publications. Automatically summarizing scientific …

Scientific article summarization is challenging: large, annotated corpora are not available,
and the summary should ideally include the article's impacts on research community. This …

Searching the Internet for a certain topic can become a daunting task because users cannot
read and comprehend all the resulting texts. Automatic Text summarization (ATS) in this …

Abstractive summarization systems aim to produce more coherent and concise summaries
than their extractive counterparts. Popular neural models have achieved impressive results …

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 …

Creating presentation materials requires complex multimodal reasoning skills to summarize
key concepts and arrange them in a logical and visually pleasing manner. Can machines …

Nowadays we see huge amount of information is available on both, online and offline
sources. For single topic we see hundreds of articles are available, containing vast amount …

Automatic text generation is the generation of natural language text by machines. Enabling
machines to generate readable and coherent text is one of the most vital yet challenging …

The need for automatic document summarization that can be used for practical applications
is increasing rapidly. In this paper, we propose a general framework for summarization that …