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19992005
most citedSummarization from Medical Documents: A Survey

164 citations · 170 across the 3 of their papers we have counts for

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7 papers · 1 filter

cs.CL20056 cited

Summarizing Reports on Evolving Events; Part I: Linear Evolution

Stergos D. Afantenos, Vangelis Karkaletsis, Panagiotis Stamatopoulos

We present an approach for summarization from multiple documents which report on events that evolve through time, taking into account the different document sources. We distinguish…

cs.CL2005164 cited

Summarization from Medical Documents: A Survey

Stergos D. Afantenos, Vangelis Karkaletsis, Panagiotis Stamatopoulos

Objective: The aim of this paper is to survey the recent work in medical documents summarization. Background: During the last decade, documents summarization got increasing attenti…

cs.CL2005

An Introduction to the Summarization of Evolving Events: Linear and Non-linear Evolution

Stergos D. Afantenos, Konstantina Liontou, Maria Salapata +1

This paper examines the summarization of events that evolve through time. It discusses different types of evolution taking into account the time in which the incidents of an event…

cs.CL2002

Ellogon: A New Text Engineering Platform

Georgios Petasis, Vangelis Karkaletsis, Georgios Paliouras +2

This paper presents Ellogon, a multi-lingual, cross-platform, general-purpose text engineering environment. Ellogon was designed in order to aid both researchers in natural languag…

cs.CL2001

Stacking classifiers for anti-spam filtering of e-mail

G. Sakkis, I. Androutsopoulos, G. Paliouras +3

We evaluate empirically a scheme for combining classifiers, known as stacked generalization, in the context of anti-spam filtering, a novel cost-sensitive application of text categ…

cs.CL2000

Learning to Filter Spam E-Mail: A Comparison of a Naive Bayesian and a Memory-Based Approach

Ion Androutsopoulos, Georgios Paliouras, Vangelis Karkaletsis +3

We investigate the performance of two machine learning algorithms in the context of anti-spam filtering. The increasing volume of unsolicited bulk e-mail (spam) has generated a nee…