summarize

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sum up

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References in periodicals archive ?
To operationalize the final Saliency phase, the summarization software in this study used a statistical algorithm known as Combo.
The semantic predications produced by the Summarization phase can be visually displayed.
The results of this study may offer commentary on the potential enhancement offered by Combo-driven Summarization in expanding Semantic MEDLINE's functionality.
First, in evaluating Combo-enhanced Semantic MEDLINE for other related projects (addressing genetic disease etiology [7] and drug treatment), information retrieval for text summarization was based on a single disease topic, paired with a subheading-type concept, while drawing on all citations in the database (instead of selected intricate subsets).
Text summarization is a popular application that allows for reduction of text size without significant loose of the content.
This section is divided into following subsections that correspond to each application of CL: Information Retrieval, Question Answering, Text Summarization, and Text Generation.
A solution for such problem is to extract the important parts of the document which is the task of automatic text summarization.
More applications of automatic text summarization are, for example, summaries of news and scientific articles, summaries of electronic mails, summaries of different electronic information which later can be sent as SMS, summaries of found documents and pages returned by a retrieved system.
1995) provided guidelines for teaching summarization techniques to students, which were used in structuring Susan's lessons.
The second guideline is to model the skills of summarization.
Students must master the summarization strategy and begin to generate summaries independently.
Automatic Summarization (AS) task helps users condense all this information and present it in a brief way, in order to make it easier to process the vast amount of documents related to the same topic that exist these days.
The stage of interpretation is what distinguishes extract-type summarization systems from abstract-type systems.
Another essential part of the Text Summarization (TS) task is how to perform the evaluation of a summary.
In this paper, we focus on single-document (1) Text Summarization from an extractive point of view, and we set out two goals for this research.