Text summarization is the process of extracting salient information from the source text and to present that information to the user in the form of summary. It is very difficult for human beings to manually summarize large documents of text. Automatic abstractive summarization provides the required solution but it is a challenging task because it requires deeper analysis of text. In this paper,...

Automatic text summarization, the reduction of a text to its essential content is fundamental for an on-line information society. Although many summarization algorithms exist, there are few tools or infrastructures providing capabilities for developing summarization applications. This paper presents a new version of SUMMA, a text summarization toolkit for the development of adaptive summarizati...

We present an approach to text summarization that is entirely rooted in the formal description of a classification-based model of terminological knowledge representation and reasoning. Text summarization is considered an operator-based transformation process by which knowledge representation structures, as generated by the text understander, are mapped to condensed representation structures for...

Text Summarization is compressing the source text into a shorter version preserving its information content and overall meaning. It is very complicated for human beings to manually summarize large documents of text. Text summarization plays an important role in the area of natural language processing and text mining. Many approaches use statistics and machine learning techniques to extract sent...

Usually, presence of the same information in multiple documents is the main problem faced in effective information access. Instead of this redundant information thus accessed or retrieved, users are interested in retrieving information that addresses one or other several aspects. In such situation, text summarization proves to be very useful. Not only in Information retrieval, but it is an extr...

In this paper, a novel linguistically advanced text summarization system is described for reducing the minimum size of highly readable variable-sized summaries of digitized text documents produced by text summarization methods that use discourse analysis to rank sentences for inclusion in the final summary. The basic algorithm used in FXPAL’s PALSUMM text summarization system combines text stru...