The aim of the present paper is to design a database that captures only the relevant data
from logs in a way that will allow to store and manage large sets of temporal data with …

The vast availability of information sources has created a need for research on automatic
summarization. Current methods perform either by extraction or abstraction. The extraction …

This research presents a very efficient machine learning method based on Conditional
Random Fields (CRF) for the extraction of multi-document summaries. We have used the …

Abstract Information Extraction (IE) is the systematic harvesting of information from natural
language text and speech into structured form, eg, into a database, for further downstream …

Résumé De nombreuses méthodes et techniques d'intelligence artificielle pour l'extraction
d'information, la reconnaissance des formes et l'exploration de données sont utilisées pour …