The recent developments in the modern data collection tools, techniques, and storage
capabilities are leading towards huge volume of data. The dimensions of data indicate the …

The headline of this paper names a research area originating from the late 50's but not
loosing its popularity until the present time. Moreover, one of the most relevant today's …

With the evolution of the Internet and multimedia technology, the amount of text data has
increased exponentially. This text volume is a precious source of information and knowledge …

Textual information in the form of digital documents quickly accumulates to create huge
amounts of data. The majority of these documents are unstructured: it is unrestricted text and …

Over the years as the technology advanced, the amount of data generated during the
simulations and processing has been constantly increasing. Techniques for creating …

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

Headline generation is a task of abstractive text summarization, and previously suffers from
the immaturity of natural language generation techniques. Recent success of neural …

We propose a new method for using anaphoric information in Latent Semantic Analysis
(lsa), and discuss its application to develop an lsa-based summarizer which achieves a …

Automated summarization methods can be defined as “language-independent,” if they are
not based on any languagespecific knowledge. Such methods can be used for multilingual …

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