We have seen a lot of interesting developments and research in text summarization. While
numerous approaches for summarization have been widely studied and applied in various …

There are problems that present a huge volume of information or/and complex data as
imprecision and approximated knowledge. Consequently, a Case-Based Reasoning system …

We propose a multiple-document summarization system with user interaction. Our system
extracts keywords from sets of documents to be summarized and shows the keywords to a …

Personal names are fundamental in our civilization. Names serve to refer to individuals, but
in contrast to eg social assurance numbers that are unique for each citizen, names are not …

The paper proposes and empirically motivates an integration of supervised learning with
unsupervised learning to deal with human biases in summarization. In particular, we explore …

The present thesis primarily concerns the use of machine learning for rhetorical parsing and
open-domain text summarization. Chapter 1 sets a general backdrop on text summarization …

Biometrics are becoming more and more a viable alternative to other authenticating
techniques, like passwords, PINs, or cards. They are the base for a set of automatic pattern …

Automatic document summarization aims at creating a shorter version of one or more
documents to help users digest large amounts of information more easily by highlighting the …

Abstract Information explosion causes a serious scarcity of people's time and a severe
divergence of people's attention. This paper addresses the issue of automatic …

We propose a multiple-document summarization system with user interaction that
summarizes more than one document to a document. Our system extracts keywords from …