Constantine D. Spyropoulos

An evaluation of Naive Bayesian anti-spam filtering

It has recently been argued that a Naive Bayesian classifier can be used to filter unsolicited bulk e-mail ("spam"). We conduct a thorough evaluation of this proposal on a corpus that we make...

An Experimental Comparison of Naive Bayesian and Keyword-Based Anti-Spam Filtering with Personal E-mail Messages

The growing problem of unsolicited bulk e-mail, also known as "spam", has generated a need for reliable anti-spam e-mail filters. Filters of this type have so far been based mostly on manually...

Ellogon: A New Text Engineering Platform

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 language processing, as...

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

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 need for reliable...

Stacking Classifiers for Anti-Spam Filtering of E-Mail

Learning Rules for Large-Vocabulary Word Sense Disambiguation: A Comparison of Various Classifiers

Stacked Generalization for Information Extraction

A Platform for Cross-Lingual, Domain and User Adaptive Web Information Extraction

Realtime depression estimation using mid-term audio features

Learning context-free grammars to extract relations from text

Developing complex services in an IoT ecosystem

Knowledge Acquisition from Multimedia Documents Using Evolving Ontologies

Demonstration of the CROSSMARC System

Mining Web Sites Using Wrapper Induction, Named Entities, and Post-processing

PatEdit: An Information Extraction Pattern Editor for Fast System Customization

Ellogon: A New Text Engineering Platform

BOEMIE Ontology-Based Text Annotation Tool

A data mining approach for predicting main-engine rotational speed from vessel-data measurements