Natural language processing (NLP) has recently gained much attention for representing and
analyzing human language computationally. It has spread its applications in various fields …

In recent years, there has been a explosion in the amount of text data from a variety of
sources. This volume of text is an invaluable source of information and knowledge which …

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 …

The impact of online reviews on businesses has grown significantly during last years, being
crucial to determine business success in a wide array of sectors, ranging from restaurants …

We present methods of extractive query-oriented single-document summarization using a
deep auto-encoder (AE) to compute a feature space from the term-frequency (tf) input. Our …

In this paper, we propose SummCoder, a novel methodology for generic extractive text
summarization of single documents. The approach generates a summary according to three …

In the field of artificial intelligence, human–computer interaction (HCI) technology and its
related intelligent robot technologies are essential and interesting contents of research …

Automatic text summarization essentially condenses a long document into a shorter format
while preserving its information content and overall meaning. It is a potential solution to the …

The task of automatic document summarization aims at generating short summaries for
originally long documents. A good summary should cover the most important information of …

As a framework for extractive summarization, sentence regression has achieved state-of-the-
art performance in several widely-used practical systems. The most challenging task within …