Discovering Location Indicators of Toponyms from News to Improve Gazetteer-Based Geo-Referencing

{evandrofonseca08, igor.wendt} AT gmail.com Abstract. This paper presents an approach that identifies Location Indicators related to geographical locations, by analyzing texts of news published in the Web. The goal is to semi-automatically create Gazetteers with the identified relations and then perform geo-referencing of news. Location Indicators include non-geographical entities that are dynamic and may change along the time. The use of news published in the Web is a useful way to discover Location Indicators, covering a great number of locations and maintaining detailed information about each location. Different training news corpora are compared for the creation of Gazetteers and evaluated by their ability to correctly identify cities in texts of news.