We show some limitations of the ROUGE evaluation method for automatic summarization.
We present a method for automatic summarization based on a Markov model of the source …

Automatic Text Summarization techniques aim to extract key information from one or more
input texts automatically, producing summaries and preserving the meaning of content …

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

Abstract Approaches to Automatic Text Summarization try to extract key information from one
or more input texts and generate summaries whilst preserving content meaning. These …

In the period since 2004, many novel sophisticated approaches for generic multi-document
summarization have been developed. Intuitive simple approaches have also been shown to …

This paper presents a novel task-oriented approach for the evaluation of automatic text
summarisation systems. Evaluation of systems has traditionally been a troublesome area in …

Summaries are an important tool for familiarizing oneself with a subject area. Text
summaries are essential when forming an opinion on if reading a document in whole is …

Automatic text summarization, the reduction of a text to its essential content is fundamental
for an on-line information society. Although many summarization algorithms exist, there are …

A summary is a condensed version of a document. It contains the most relevant information
in context found in the source document. Automatic summarization is the process of …

As part of evaluating a summary automatically, it is usual to determine how much of the
contents of one or more humanproduced 'ideal'summaries it contains. Previous automated …