This paper deals about text extraction from heterogeneous documents for categorizing documents and indexing tasks. The purpose of this work is to find similar text regions basing ...
Badreddine Khelifi, Nizar Zaghden, Adel M. Alimi, ...
We describe an infrastructure for the collection and management of large amounts of text, and discuss the possibility of information extraction and visualisation from text corpora...
In this paper, we describe KES, a system that integrates text categorisation and information extraction in order to extract key elements of information from particular types of doc...
We describe a new information fusion approach to integrate facts extracted from cross-media objects (videos and texts) into a coherent common representation including multi-level ...
Adam Lee, Marissa Passantino, Heng Ji, Guojun Qi, ...
The paper reports on the methodology and preliminary results of a case study in automatically extracting ontological knowledge from Italian legislative texts in the environmental d...