Hybrid approach for the assistance in the events extraction in great textual data bases

摘要

Numerical classification tools are generally quite robust but only provide coarse-granularity results; but such tools can handle very large inputs. Several computational linguistic tools (in this case events extraction ones) are able to provide fine-granularity results but are less robust; such tools usually handle relatively short inputs. A synergistic combination of both types of tools is the basis of our hybrid system. The system is validated by extracting event information from press articles. First, a connectionist classifier is used to locate potentially interesting press articles according user interests. Second, the user forward to the linguistic system the selected press articles processor in order to extract events. We present the main characteristics of our approach.