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 …

Text Summarization is the process of obtaining salient information from an authentic text
document. In this technique, the extracted information is achieved as a summarized report …

Text summarization aims at compressing long documents into a shorter form that conveys
the most important parts of the original document. Despite increased interest in the …

Attentional, RNN-based encoder-decoder models for abstractive summarization have
achieved good performance on short input and output sequences. For longer documents …

In this work, we model abstractive text summarization using Attentional Encoder-Decoder
Recurrent Neural Networks, and show that they achieve state-of-the-art performance on two …

As information is available in abundance for every topic on internet, condensing the
important information in the form of summary would benefit a number of users. Hence, there …

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 …

Abstractive text summarization aims to shorten long text documents into a human readable
form that contains the most important facts from the original document. However, the level of …

Deep learning has led to significant improvement in text summarization with various
methods investigated and improved ROUGE scores reported over the years. However, gaps …

Abstractive summarization aims to generate a shorter version of the document covering all
the salient points in a compact and coherent fashion. On the other hand, query-based …