In recent years, there has been a explosion in the amount of text data from a variety of
sources. This volume of text is an invaluable source of information and knowledge which …

Objective The amount of information for clinicians and clinical researchers is growing
exponentially. Text summarization reduces information as an attempt to enable users to find …

Abstract Evaluation is crucial in the research and development of automatic summarization
applications, in order to determine the appropriateness of a summary based on different …

Background Comprehensive session summaries enable effective continuity in mental health
counseling, facilitating informed therapy planning. However, manual summarization …

Automatic text summarization tools help users in the biomedical domain to acquire their
intended information from various textual resources more efficiently. Some of biomedical text …

We provide a literature review about Automatic Text Summarization (ATS) systems. We
consider a citation-based approach. We start with some popular and well-known papers that …

Recently, depression has becomes a widespread disease throughout the world. However,
most people are not aware of the possibility of becoming depressed during their daily lives …

Sentence-based multi-document summarization is the task of generating a succinct
summary of a document collection, which consists of the most salient document sentences …

Query-based text summarization is aimed at extracting essential information that answers
the query from original text. The answer is presented in a minimal, often predefined, number …

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