This paper deals with using latent semantic analysis in text summarization. We describe a
generic text summarization method which uses the latent semantic analysis technique to …

We explain the ideas of automatic text summarization approaches and the taxonomy of
summary evaluation methods. Moreover, we propose a new evaluation measure for …

In this paper we present the usage of singular value decomposition (SVD) in text
summarization. Firstly, we mention the taxonomy of generic text summarization methods …

Sentence-based summarization aims at extracting concise summaries of collections of
textual documents. Summaries consist of a worthwhile subset of document sentences. The …

Multidocument summarization addresses the selection of a compact subset of highly
informative sentences, ie, the summary, from a collection of textual documents. To perform …

Text summarization is a process of producing a concise version of text (summary) from one
or more information sources. If the generated summary preserves meaning of the original …

This paper studies the problem of automated educational test generation. We describe a
procedure for generating cloze test items from Russian-language text, which consists of …

e-Learning platforms allow users with different skills to explore large collections of electronic
documents and annotate them with notes and highlights. Generating summaries of these …

One of the most relevant todays problems called information overloading has increased the
necessity of more sophisticated and powerful information compression methods …

BACKGROUND Entering Subject lines into emails can be an undesirable and tedious task,
particularly when one is pressed for time. Often, composers of emails may leave out Subject …