This paper reviews research on automatic summarising in the last decade. This work has
grown, stimulated by technology and by evaluation programmes. The paper uses several …

OBJECTIVE:: The aim of this paper is to survey the recent work in medical documents
summarization. BACKGROUND:: During the last decade, documents summarization got …

We present a novel graph-based summarization framework (Opinosis) that generates
concise abstractive summaries of highly redundant opinions. Evaluation results on …

As the amount of on-line information increases, systems that can automatically summarize
one or more documents become increasingly desirable. Recent research has investigated …

Nowadays, the efficient access of enormous amounts of information has become more
difficult due to the rapid growth of the Internet. To manage the vast information, we need …

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 …

In recent times, data is growing rapidly in every domain such as news, social media,
banking, education, etc. Due to the excessiveness of data, there is a need of automatic …

Automatic text summarization, the computer-based production of condensed versions of
documents, is an important technology for the information society. Without summaries it …

We study the problem of generating a summary for a given sentence. Existing researches on
abstractive sentence summarization ignore that keywords in the input sentence provide …

This paper presents GFlow, a novel system for coherent extractive multi-document
summarization (MDS). 1 Where previous work on MDS considered sentence selection and …