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 …

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 …

Textual information is becoming available in abundance on the web, arising the requirement
of techniques and tools to extract the meaningful information. One of such an important …

Summarization, is to reduce the size of the document while preserving the meaning, is one
of the most researched areas among the Natural Language Processing (NLP) community …

Nowadays, most research conducted in the field of abstractive text summarization focuses
on neural-based models alone, without considering their combination with knowledge …

Nowadays abundant amount of information is available on Internet which makes it difficult
for the users to locate desired information. Automatic methods are needed to efficiently sieve …

Text Summarization is the process of creating a condensed form of text document which
maintains significant information and general meaning of source text. Automatic text …

Although big data, big data analytics (BDA) and business intelligence have attracted
growing attention of both academics and practitioners, a lack of clarity persists about how …

Knowledge Bases (KBs) find applications in many knowledge-intensive tasks and, most
notably, in information retrieval. Wikidata is one of the largest public general-purpose KBs …

With the number of documents describing real-world events and event-oriented information
needs rapidly growing on a daily basis, the need for efficient retrieval and concise …