Automatic Extraction of Indicative Events fromSpanish News Stories

Abstract

Nowadays there exist an increasing raising of information on
Internet which is easy available for human beings. This huge volume of
data can be analyzed in order to discover and model linguistic phenomena
and extract information. In this paper we have selected the news stories
genre for extracting indicative events that represent likelihood of some
event to occur. The aim of this research is to bring to light statistical
events occurring all around the world by employing techniques of natural
language processing based on linguistic patterns in an information
retrieval system. This paper presents the outcomes obtained up to now
in the particular topic of automatic extraction of indicative events from
Spanish news stories.