Searching for Semantic Relations between Named Entities in I-CAB

This paper describes the experiments for the extraction from I-CAB of three dierent semantic realtion types (role, social, location) holding between two named entities in Italian. The method adopted exploits the information about the part-of-speech of the context before and between the two entities. This method, called Part-Of-Speech Context Count (POSCo) obtained an F1-measure of 0.812 using simply decision trees and decision lists algorithms. The rules extracted from this experiment are implemented in a semantic relation annotator (called RA) compatible with the TextPro tool suite.