Text summarization endeavors to produce a summary version of a text, while maintaining the original ideas. The textual content on the web, in particular, is growing at an exponential rate. The ability to decipher through such massive amount of data, in order to extract the useful information, is a major undertaking and requires an automatic mechanism to aid with the extant repository of informa...

© Document summarization using Wikipedia Krishnan Ramanathan, Yogesh Sankarasubramaniam, Nidhi Mathur, Ajay Gupta HP Laboratories HPL-2009-39 Single Document Summarization, Wikipedia, ROUGE Although most of the developing world is likely to first access the Internet through mobile phones, mobile devices are constrained by screen space, bandwidth and limited attention span. Single document summa...

In this paper, we propose a text summarization system for a single document and multiple documents. The system for a single one extracts sentences from a document and itemizes them to generate a summary. We applied this mechanism for Task A (single document summarization). We also utilized this mechanism for multi-document summarization (Task B) except for itemization mechanism. The system for ...

Summarization is a Process of filtering the most important information from source/sources for a particular user and task. Summarization is a very useful task which gives support to many other tasks. It takes advantage of the techniques developed for Natural Language Processing tasks. Multidocument summarization is a technique of summarize the multiple document into one paragraph. Multi-documen...

The increasing amount of online content motivated the development of multi-document summarization methods. In this work, we explore straightforward approaches to extend single-document summarization methods to multi-document summarization. The proposed methods are based on the hierarchical combination of single-document summaries, and achieves state of the art results.

Text summarization is the process of taking a text document and creating a compressed version that consists of the most useful information for the user. One distinguishes between single-document summarizers (SDS) and multi-document summarizers (MDS). Multi-document summarization is much more complicated than single-document summarization. Factors that make multi-document summarization more diff...