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, ...
In this paper, we present a novel framework for machine learning-based cross-media knowledge extraction. The framework is specifically designed to handle documents composed of th...
In this paper we present SINTESI, a system for the knowledge extraction from Italian inputs, currently under development in our re,search centre. It is used on short descriptive d...
Exploiting lexical and semantic relationships in large unstructured text collections can significantly enhance managing, integrating, and querying information locked in unstructur...